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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerZio Enrico
QualificationFull professor
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/19 - Nuclear Power Plants
Curriculum VitaeDownload CV (106.37Kb - 16/02/2024)
OrcIDhttps://orcid.org/0000-0002-7108-637X

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Energia------MondayFrom 17:30
To 18:30
6340---Previo appuntamento
E-mailenrico.zio@polimi.it
Personal websitehttp://lasar.cesnef.polimi.it

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A systematic approach for the adequacy analysis of a set of experimental databases: Application in the framework of the ATRIUM activity (Show >>)
Data Adequacy by an Extended Analytic Hierarchy Process for Inverse Uncertainty Quantification in Nuclear Safety Analysis (Show >>)
Ensemble of Artificial Neural Networks for Approximating the Survival Signature of Critical Infrastructures (Show >>)
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths (Show >>)
Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Digital Twin Modeling for Enhanced Operational Reliability: A Case Study on a Dredging Perception System (Show >>)
Contributions on scientific books
Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems (Show >>)
Conference proceedings
A General Data-Driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Split Conformal Prediction (Show >>)
A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets (Show >>)
An Importance Function to Generate Scenarios for Training a Grey-Box Model for the Computational Risk Assessment of Cyber-Physical Systems (Show >>)
Analysis of Road Transport Networks Travelled by both Internal Combustion and Electric Vehicles and Subject to Traffic Congestion due to Incident Scenarios (Show >>)
Cascades-Risk Informed Transmission Expansion Planning by Behavioural Cloning (Show >>)
Community Detection Algorithm for Natural Gas Pipeline Network Based on Transmission Characteristics (Show >>)
Development of a Repeatable and Objective Decision Model for the Human Error Probability Estimation According to the HEART Framework (Show >>)
Energy-Efficient Scheduling of Flexible Manufacturing Systems Based on Petri Net (Show >>)
Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection (Show >>)
Key Performance Indicators of Aging Safety Barriers in Oil and Gas Facilities (Show >>)
Optimization Method for an Improved Training of Physics Informed Neural Networks (Show >>)
Prediction of the Number of Defectives in a Production Batch of Semiconductor Devices (Show >>)
Probabilistic simulation model of resilience assessment of natural gas pipeline systems (Show >>)
Quantum Imprecise Bayesian Networks (QIBN) for Modelling Socio-Ecological-Technical Systems under Uncertainty (Show >>)
Reliability Analysis of Telecommunication Networks from Customer Damage Perspective: An Overview of Two Techniques (Show >>)
Study on the Application of Graph Theory Algorithms and Attack Graphs in Cybersecurity Assessment (Show >>)
Two formal methodologies of Model-Based Safety Assessment for Fault Tree Analysis (Show >>)
Journal Articles
A Bootstrapped Modularised method of Global Sensitivity Analysis applied to Probabilistic Seismic Hazard Assessment (Show >>)
A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines (Show >>)
A Semisupervised Deep Hybrid Multitask Model for RUL Prediction (Show >>)
A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks (Show >>)
A multi-objective optimization model for identifying groups of critical elements in a high-speed train (Show >>)
A novel approach for remaining useful life prediction of high-reliability equipment based on long short-term memory and multi-head self-attention mechanism (Show >>)
A resilience evaluation method of natural gas pipeline system based on uncertainty analysis (Show >>)
A restoration-clustering-decomposition learning framework for aging-related failure rate estimation of distribution transformers (Show >>)
A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply (Show >>)
A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model (Show >>)
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data (Show >>)
Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines (Show >>)
An Adaptive Sampling Framework for Life Cycle Degradation Monitoring (Show >>)
An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries (Show >>)
Bi-objective optimization of the scheduling of risk-related resources for risk response (Show >>)
Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions (Show >>)
Data-driven optimal strategy for scheduling the hourly uncertain demand response in day-ahead markets (Show >>)
Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment (Show >>)
Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures (Show >>)
Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning (Show >>)
Guest Editorial: Special Issue of ESREL2020 PSAM15 (Show >>)
Guest Editorial: Special Issue of ESREL2020 PSAM15 (Show >>)
Hybrid system response model for condition monitoring of bearings under time-varying operating conditions (Show >>)
Improving resilience of high-speed train by optimizing repair strategies (Show >>)
Insights in the safety analysis of an early microreactor design (Show >>)
Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems (Show >>)
Maintenance optimization in industry 4.0 (Show >>)
Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries (Show >>)
Multi-objective reliability and cost optimization of fuel cell vehicle system with fuzzy feasibility (Show >>)
Multi-objective two-stage stochastic unit commitment model for wind-integrated power systems: A compromise programming approach (Show >>)
Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift (Show >>)
Opportunistic maintenance policies for multi-machine production systems with quality and availability improvement (Show >>)
Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning (Show >>)
Physics informed neural networks for surrogate modeling of accidental scenarios in nuclear power plants (Show >>)
Physics-Guided Generative Adversarial Networks for fault detection of underwater thruster (Show >>)
Quantum reliability analysis of a wireless telecommunication network (Show >>)
Reliability evaluation of the hybrid-redundancy sensor fault tolerate system in the dredging perception system (Show >>)
Remaining Useful Life Prediction of Lithium-Ion Battery Based on Adaptive Fractional Lévy Stable Motion with Capacity Regeneration and Random Fluctuation Phenomenon (Show >>)
Resilience of Natural Gas Pipeline System: A Review and Outlook (Show >>)
Robust multi-objective optimization of safety barriers performance parameters for NaTech scenarios risk assessment and management (Show >>)
Robust optimization of the design of monopropellant propulsion control systems using an advanced teaching-learning-based optimization method (Show >>)
Routing UAVs in landslides Monitoring: A neural network heuristic for team orienteering with mandatory visits (Show >>)
Seismic resilience assessment of Small Modular Reactors by a Three-loop Monte Carlo Simulation (Show >>)
Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system (Show >>)
The Aramis Data Challenge to prognostics and health management methods for application in evolving environments (Show >>)
Vision-Based Defect Measurement of Drilled CFRP Composites Using Double-Light Imaging (Show >>)
Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
A Simulation-Based Framework for the Adequacy Assessment of Integrated Energy Systems Exposed to Climate Change (Show >>)
Fault Detection by Signal Reconstruction in Nuclear Power Plants (Show >>)
Optimal Management of the Flow of Parts for Gas Turbines Maintenance by Reinforcement Learning and Artificial Neural Networks (Show >>)
Conference proceedings
A Grey-Box Digital Twin-based Approach for Risk Monitoring of Nuclear Power Plants (Show >>)
A Mathematical Framework for the Evaluation of System Expected Utility Not Satisfied Under Periodic Demand (Show >>)
A Methodological Framework for the Resilience Analysis of Road Transport Networks Exposed to Freezing Rain (Show >>)
A Methodology for the Dynamic Risk Assessment of Nuclear Batteries (Show >>)
A Physics-Informed Training Approach for Data-Driven Method in Remaining Useful Life Estimation (Show >>)
A Taxonomy for Modelling Reports of Process Safety Events in the Oil and Gas Industry (Show >>)
A Two-Stage Stochastic Unit Commitment Model for Wind-integrated Power Systems Flexibility Assessment (Show >>)
An Unsupervised Method for Anomaly Detection in Multi-Stage Production Systems Based on LSTM Autoencoders (Show >>)
Calculation of the Collapse Rating of Individual Pipe Joints for OCTG Casing and Tubing (Show >>)
Collaborative Kernel-based Nonlinear Degradation Modeling with Transfer Learning for Remaining Useful Life Prediction (Show >>)
Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network (Show >>)
Estimation of the Lower Heating Value of Solid Recovered Fuel Based on Swir Hyper-Spectral Images and Machine Learning (Show >>)
Experimental Investigation of Failure Thresholds of Rolling Element Bearings (Show >>)
Grey-Box Models for Cyber-Physical Systems Reliability, Safety and Resilience Assessment (Show >>)
Identification of Features of Rare Risk Events in Oil Refineries Using Natural Language Processing (NLP) (Show >>)
Identification of Vulnerabilities in Integrated Power-Telecommunication Infrastructures; A Simulation-based Approach (Show >>)
Long Short-Term Memory ANNs for Fast Assessment of Injection Policies of Water-Flooding in Oil and Gas Reservoirs (Show >>)
Monitoring Degradation of Insulated Gate Bipolar Transistors in Induction Cooktops by Artificial Neural Networks (Show >>)
Optimization Workflow Using Deep Learning Based Forward Models For Waterflooded Oil Reservoirs (Show >>)
Prediction of the Remaining Useful Life of MOSFETs Used in Automotive Inverters by an Ensemble of Neural Networks (Show >>)
The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment (Show >>)
Vulnerability Assessment of Interdependent Infrastructures Based on a Cascading Failure Model (Show >>)
Wrapper Selection of Features for Fault Diagnostics of Truss Structures (Show >>)
Journal Articles
A Bayesian Belief Network Model for the Risk Assessment and Management of Premature Screen-Out during Hydraulic Fracturing (Show >>)
A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors (Show >>)
A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction (Show >>)
A Deep Learning Feature Fusion Based Health Index Construction Method for Prognostics Using Multiobjective Optimization (Show >>)
A Fault Diagnosis Approach for Electromechanical Actuators with Simulating Model under Small Experimental Data Sample Condition (Show >>)
A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios (Show >>)
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data (Show >>)
A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures (Show >>)
A Novel Nonlinear Dynamic Model for Predicting Contact Bounce of Electromagnetic Relays With Flexible Spring Components (Show >>)
A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles (Show >>)
A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems (Show >>)
A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks (Show >>)
A dynamic event tree for a blowout accident in an oil deep-water well equipped with a managed pressure drilling condition monitoring and operation system (Show >>)
A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports (Show >>)
A framework for predicting the remaining useful life of machinery working under time-varying operational conditions (Show >>)
A framework of sensitivity analysis for the performance assessment of safety barriers impacted by NaTech accidents (Show >>)
A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities (Show >>)
A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems (Show >>)
A heuristic features selection approach for scenario analysis in a regional seismic probabilistic tsunami hazard assessment (Show >>)
A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena (Show >>)
A method for economic evaluation of predictive maintenance technologies by integrating system dynamics and evolutionary game modelling (Show >>)
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks (Show >>)
A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries (Show >>)
A new preventive maintenance strategy optimization model considering lifecycle safety (Show >>)
A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates (Show >>)
A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data (Show >>)
A reliability-centered methodology for identifying renovation actions for improving resilience against heat waves in power distribution grids (Show >>)
A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning (Show >>)
A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment (Show >>)
An Adaptive Generalized Cauchy Model for Remaining Useful Life Prediction of Wind Turbine Gearboxes with Long-Range Dependence (Show >>)
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty (Show >>)
An advanced teaching-learning-based algorithm to solve unconstrained optimization problems (Show >>)
An iterative model of the generalized Cauchy process for predicting the remaining useful life of lithium-ion batteries (Show >>)
Bearing Fault Diagnosis Based on Discriminant Analysis Using Multi-View Learning (Show >>)
Comparison of the HAZOP, FMEA, FRAM, and STPA Methods for the Hazard Analysis of Automatic Emergency Brake Systems (Show >>)
Condition-based Maintenance for Performance Degradation under Non-periodic Unreliable Inspections (Show >>)
Data-Driven Optimal Test Selection Design for Fault Detection and Isolation Based on CCVKL Method and PSO (Show >>)
Evolving Connectionist System and Hidden Semi-Markov Model for Learning-Based Tool Wear Monitoring and Remaining Useful Life Prediction (Show >>)
Finite Iterative Forecasting Model Based on Fractional Generalized Pareto Motion (Show >>)
Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation (Show >>)
Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors (Show >>)
Guest Editorial: Special Section on AI Enhanced Reliability Assessment and Predictive Health Management (Show >>)
Guest Editorial: special issue of ESREL2020 PSAM15 (Show >>)
Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches (Show >>)
Hybrid discrete differential evolution and deep Q-Network for multimission selective maintenance (Show >>)
Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network (Show >>)
Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas (Show >>)
Informational probabilistic sensitivity analysis and active learning surrogate modelling (Show >>)
Integrated fault estimation and fault-tolerant control for a flexible regional aircraft (Show >>)
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation (Show >>)
Machine learning-based models to prioritize scenarios in a Quantitative Risk Analysis: An application to an actual atmospheric distillation unit (Show >>)
Matérn process-based simulation of wind speed time series (Show >>)
Multi-objective availability and cost optimization by PSO and COA for series-parallel systems with subsystems failure dependencies (Show >>)
Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor (Show >>)
Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism (Show >>)
Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process (Show >>)
Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning (Show >>)
Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach (Show >>)
Parallel density scanned adaptive Kriging to improve local tsunami hazard assessment for coastal infrastructures (Show >>)
Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling (Show >>)
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice (Show >>)
Prognostics and health management: A review from the perspectives of design, development and decision (Show >>)
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems (Show >>)
Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling (Show >>)
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks (Show >>)
Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control (Show >>)
Social Robotics and Synthetic Ethics: A Methodological Proposal for Research (Show >>)
Subset simulation for optimal sensors positioning based on value of information (Show >>)
Supply resilience assessment of natural gas pipeline network systems (Show >>)
System design optimization with mixed subsystems failure dependencies (Show >>)
The Contribution of Small Modular Reactors to the Resilience of Power Supply (Show >>)
The Role of Nuclear Small Modular Reactors for the Resilience of Integrated Energy Systems (Show >>)
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Bayesian Regularized Artificial Neural Network for the estimation of the Ignition Probability in accidents in Oil & Gas plants (Show >>)
A Method based on Gaussian Process Regression for Modelling Burn-in of Semiconductor Devices (Show >>)
A Modeling Framework for the Analysis of Integrated Energy Systems Exposed to NaTech Events Induced by Climate Change (Show >>)
A Natural Language Processing Method for the Identification of the Factors Influencing Road Accident Severity (Show >>)
A multistate Bayesian Network integrating MISOF and probit modelling for the risk assessment of oil and gas plants (Show >>)
A planning strategy for maintenance interventions under complex systems (Show >>)
AN IMPERFECT USAGE-BASED PREVENTIVE MAINTENANCE PLANNING MODEL FOR RAILWAY TRACK SUPERSTRUCTURES (Show >>)
Damage Detection in Truss Structures Supporting Pipelines and Auxiliary Equipment in Power Plants (Show >>)
Dynamic Reliability Assessment Framework for Integrated Energy Systems Based on the Improved Universal Generating Function (Show >>)
Dynamic Reliability Assessment of Cyber-Physical Energy Systems (CPEs) by GTST-MLD (Show >>)
Finite State Machine Modelling for The Performance Analysis of An Integrated Road-Power Infrastructure with A Hybrid Fleet of EVs And ICVs (Show >>)
INVESTIGATION OF FEATURES FOR BALL BEARINGS REMAINING USEFUL LIFE PREDICTION (Show >>)
Multihazard Risk Aggregation Approach for Quantitative Risk Assessment of Upstream Oil and Gas Facilities (Show >>)
Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events (Show >>)
VALUE OF INFORMATION-BASED OPTIMAL SENSORS POSITIONING BY SUBSET SIMULATION FOR CONDITION-BASED PSA (Show >>)
Journal Articles
A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems (Show >>)
A Fractional Brownian Motion Model for Forecasting Lost Load and Time Interval between Power Outages (Show >>)
A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System (Show >>)
A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures (Show >>)
A Novel Framework for the Operational Reliability Evaluation of Integrated Electric Power-Gas Networks (Show >>)
A Two-Stage Stochastic Programming Model of Component Test Plan and Redundancy Allocation for System Reliability Optimization (Show >>)
A data-driven approach to anomaly detection and vulnerability dynamic analysis for large-scale integrated energy systems (Show >>)
A failure mechanism consistency test method for accelerated degradation test (Show >>)
A framework for the resilience analysis of complex natural gas pipeline networks from a cyber-physical system perspective (Show >>)
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes (Show >>)
A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers (Show >>)
A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty (Show >>)
A method for fault diagnosis in evolving environment using unlabeled data (Show >>)
A multi-branch deep neural network model for failure prognostics based on multimodal data (Show >>)
A multi-criteria model for the security assessment of large-infrastructure construction sites (Show >>)
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer (Show >>)
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data (Show >>)
A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets (Show >>)
A semi-supervised method for the characterization of degradation of nuclear power plants steam generators (Show >>)
A simulation-based multi-objective optimization framework for the production planning in energy supply chains (Show >>)
Accounting for Safety Barriers Degradation in the Risk Assessment of Oil and Gas Systems by Multistate Bayesian Networks (Show >>)
An MEWMA-based segmental multivariate hidden Markov model for degradation assessment and prediction (Show >>)
An integrated risk index accounting for epistemic uncertainty in probability risk assessment (Show >>)
An integrated, systematic data-driven supply-demand side management method for smart integrated energy systems (Show >>)
An optimization framework for opportunistic planning of preventive maintenance activities (Show >>)
An optimization model for planning testing and control strategies to limit the spread of a pandemic – The case of COVID-19 (Show >>)
Association rules extraction for the identification of functional dependencies in complex technical infrastructures (Show >>)
Bootstrapped ensemble of artificial neural networks technique for quantifying uncertainty in prediction of wind energy production (Show >>)
Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model (Show >>)
Deep reinforcement learning based on proximal policy optimization for the maintenance of a wind farm with multiple crews (Show >>)
Development of an integrated dynamic model for supply security and resilience analysis of natural gas pipeline network systems (Show >>)
Failure identification in a nuclear passive safety system by Monte Carlo simulation with adaptive Kriging (Show >>)
Fault diagnosis and reconfigurable control for commercial aircraft with multiple faults and actuator saturation (Show >>)
Feature extraction for early fault detection in rotating machinery of nuclear power plants based on adaptive VMD and Teager energy operator (Show >>)
Fractional Lévy stable motion with LRD for RUL and reliability analysis of li-ion battery (Show >>)
Gaussian Fields for Predicting Drift of Oil and Gas Pipes (Show >>)
Generalized Cauchy difference iterative forecasting model for wind speed based on fractal time series (Show >>)
Globalization and global risk: How risk analysis needs to be enhanced to be effective in confronting current threats (Show >>)
Guest Editorial: Value of Information (VoI) in reliability and risk assessment (Show >>)
Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit (Show >>)
Identification of critical components in the complex technical infrastructure of the large hadron collider using relief feature ranking and support vector machines (Show >>)
Integrated planning framework for preventive maintenance grouping: A case study for a conveyor system in the Chilean mining industry (Show >>)
Joint Distribution-Based Test Selection for Fault Detection and Isolation under Multiple Faults Condition (Show >>)
Metabolism and difference iterative forecasting model based on long-range dependent and grey for gearbox reliability (Show >>)
Metamodeling and on-line clustering for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit (Show >>)
Multi-state reliability assessment model of base-load cyber-physical energy systems (CPES) during flexible operation considering the aging of cyber components (Show >>)
Novel efficient method for structural reliability analysis using hybrid nonlinear conjugate map-based support vector regression (Show >>)
On-line Estimation of Degradation State Under Random Change of Mode (Show >>)
Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems (Show >>)
Optimal sensor positioning on pressurized equipment based on Value of Information (Show >>)
Product technical life prediction based on multi-modes and fractional Lévy stable motion (Show >>)
Quantification of uncertainty in CFD simulation of accidental gas release for O & G quantitative risk assessment (Show >>)
Radiation-induced degradation analysis and reliability modeling of COTS ADCs for space-borne miniature fiber-optic gyroscopes (Show >>)
Reliability assessment of passive safety systems for nuclear energy applications: State‐of‐the‐art and open issues (Show >>)
Remaining useful life prediction for complex systems considering varying future operational conditions (Show >>)
Resilience Assessment and Importance Measure for Interdependent Critical Infrastructures (Show >>)
Resilience assessment of electrified road networks subject to charging station failures (Show >>)
Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State (Show >>)
Time-dependent reliability analysis of the reactor building of a nuclear power plant for accounting of its aging and degradation (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Review on health indices extraction and trend modeling for remaining useful life estimation (Show >>)
Conference proceedings
A coevolutionary optimization approach with deep sparse autoencoder for the extraction of equipment degradation indicators (Show >>)
A hydrocarbon production system multi-objective optimization (Show >>)
A method for inferring casual dependencies among abnormal behaviours of components in complex technical infrastructures (Show >>)
A method for the risk analysis of energy supply in integrated energy systems (Show >>)
A methodology for the identification of the critical components of the electrical distribution network of cern’s large hadron collider (Show >>)
A multi-state model of the aging process of cyber-physical systems (Show >>)
A multistate bayesian network for accounting the degradation of safety barriers in the living risk assessment of oil and gas plants (Show >>)
A novel degradation state indicator for steam generators of nuclear power plants (Show >>)
A novel kpi for continuously monitored safety barriers based on probabilistic safety margins (Show >>)
A risk-based diagnostic campaign optimization for electric power distribution networks (Show >>)
A supervised classification method based on logistic regression with elastic-net penalization for heat waves identification to enhance resilience planning in electrical power distribution grids (Show >>)
A zero-sum Markov defender-attacker game for modeling false pricing in smart grids and its solution by multi-agent reinforcement learning (Show >>)
Advanced methods for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit (Show >>)
Agent-based modeling and reinforcement learning for optimizing energy systems operation and maintenance: the pathmind solution (Show >>)
Agent-based modeling for energy supply chain resilience analysis (Show >>)
Allocation of defense resources against cyber attacks to cyber-physical systems (Show >>)
An ensemble of echo state networks for predicting the energy production of wind plants (Show >>)
An interdisciplinary approach for investigating an accident originating from leakage in a gasketed bolted joint (Show >>)
An unsupervised method for the reconstruction of maintenance intervention times (Show >>)
Analytic hierarchy process for the estimation of the probability of failures of safety barriers in oil and gas installations (Show >>)
Assessing reliability reputation of products based on online customer reviews (Show >>)
Assessing the resilience of an electrified transportation network considering failures of charging stations (Show >>)
Comparison of cfd numerical approaches for the simulation of accidental gas release in energy applications (Show >>)
Data-driven extraction of association rules of dependent abnormal behaviour groups (Show >>)
Data-driven identification of critical components in complex technical infrastructures using Bayesian additive regression trees (Show >>)
Deep reinforcement learning for optimizing operation and maintenance of energy systems equipped with phm capabilities (Show >>)
Energy supply chains planning: Risk-based optimization (Show >>)
Enhancements of reliability centered maintenance analysis and its application to the railway industry (Show >>)
Estimation of the value of prognostic information for condition-based and predictive maintenance (Show >>)
Fault detection based on optimal transport theory (Show >>)
Fault diagnostics by conceptors-aided clustering (Show >>)
Fault prognostics in presence of event-based measurements (Show >>)
IRIS: A novel approach to monitoring risk in safety critical plants (Show >>)
Identification of fep critical paths from a bayesian network model for the risk assessment of nuclear waste repositories (Show >>)
Low-cycle fatigue life prediction and reliability evaluation of turbine blades with distributed collaborative lssvr (Show >>)
Mixed stochastic process modelling for accelerated degradation testing (Show >>)
Model-based Prognostic of the Remaining Useful Life of Bearings Considering Model Parameter Uncertainty (Show >>)
Multi-objective evolutionary algorithm for the identification of rare functional dependencies in complex technical infrastructures (Show >>)
Optimal grouping and scheduling of preventive maintenance activities (Show >>)
Optimal part flow in maintenance service contracts of gas turbines (Show >>)
Optimal sensors positioning for condition-based risk assessment by particle swarm optimization (Show >>)
Pipe drift estimation based on the measurements of geometrical parameters from a single pipe (Show >>)
Predicting the rate of CoVid-19 infected cases by Learning Theory (Show >>)
Resilience management of infrastructure systems from a multistage decision making perspective (Show >>)
Simulation-based goal tree success tree for the risk analysis of cyber-physical systems (Show >>)
Text mining for the automatic classification of road accident reports (Show >>)
The aramis data challenge: Prognostics and health management in evolving environments (Show >>)
The risk assessment and management of premature screen-out during hydraulic fracturing based on the bayesian belief network model (Show >>)
Unsupervised domain adaptation for dynamic in weighing motion system of freight rail carriages under varying ballast conditions (Show >>)
Journal Articles
A Discrete Increment Model for Electricity Price Forecasting Based on Fractional Brownian Motion (Show >>)
A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider (Show >>)
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments (Show >>)
A data-driven framework for identifying important components in complex systems (Show >>)
A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models (Show >>)
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators (Show >>)
A new framework for multi-hazards risk aggregation (Show >>)
A novel method for maintenance record clustering and its application to a case study of maintenance optimization (Show >>)
A novel time-dependent system constraint boundary sampling technique for solving time-dependent reliability-based design optimization problems (Show >>)
A numerical approach for predicting the remaining useful life of an aviation hydraulic pump based on monitoring abrasive debris generation (Show >>)
A practical approach for evaluating the strength of knowledge supporting risk assessment models (Show >>)
A reinforcement learning approach to optimal part flow management for gas turbine maintenance (Show >>)
A systematic method for the analysis of energy supply reliability in complex Integrated Energy Systems considering uncertainties of renewable energies, demands and operations (Show >>)
Accounting for uncertainties of magnitude-and site-related parameters on neural network-computed ground-motion prediction equations (Show >>)
An efficient method for passive safety systems reliability assessment (Show >>)
An efficient method of key parameter screening for PCCS under SLB accident in AP1000 (Show >>)
An energy-based coupling degradation propagation model and its application to aviation actuation system (Show >>)
An extended method for evaluating assumptions deviations in quantitative risk assessment and its application to external flooding risk assessment of a nuclear power plant (Show >>)
An integrated reliability approach with improved importance sampling for low-cycle fatigue damage prediction of turbine disks (Show >>)
Analysing Recovery from Pandemics by Learning Theory: The Case of CoVid-19 (Show >>)
Bayesian Network Modelling for the Wind Energy Industry: An Overview (Show >>)
COVID-19 pandemic trend modeling and analysis to support resilience decision-making (Show >>)
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0 (Show >>)
Configuration Optimization in Miniature Interferometric Fiber-Optic Gyroscopes for Space Application (Show >>)
Considering the human operator cognitive process for the interpretation of diagnostic outcomes related to component failures and cyber security attacks (Show >>)
Cooperative co-evolutionary approach to optimize recovery for improving resilience in multi-communities (Show >>)
Corrigendum to “Reliability assessment of generic geared wind turbines by GTST-MLD model and Monte Carlo simulation” (Renewable Energy (2015) 83 (222–233), (S0960148115003158), (10.1016/j.renene.2015.04.035)) (Show >>)
Cost minimization of repairable systems subject to availability constraints using efficient cuckoo optimization algorithm (Show >>)
Cyber attack taxonomy for digital environment in nuclear power plants (Show >>)
Data-driven reliability analysis of Boeing 787 Dreamliner (Show >>)
Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories (Show >>)
Definitions of generalized multi-performance weighted multi-state K¯-out-of-n system and its reliability evaluations (Show >>)
Dynamic Surrogate Modeling for Multistep-ahead Prediction of Multivariate Nonlinear Chemical Processes (Show >>)
Dynamic probabilistic-based LCF damage assessment of turbine blades regarding time-varying multi-physical field loads (Show >>)
Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants (Show >>)
Equivalent availability index for the performance measurement of haul truck fleets (Show >>)
Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements (Show >>)
Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting (Show >>)
Fractional Lévy stable motion: Finite difference iterative forecasting model (Show >>)
Identification of Protective Actions to Reduce the Vulnerability of Safety-Critical Systems to Malevolent Intentional Acts: An Optimization-Based Decision-Making Approach (Show >>)
Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection (Show >>)
Integrated Deterministic and Probabilistic Safety Analysis of Integrated Energy Systems with bi-directional conversion (Show >>)
Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications (Show >>)
Joint optimization of safety barriers for enhancing business continuity of nuclear power plants against steam generator tube ruptures accidents (Show >>)
Modeling and Analyzing Supporting Systems for Smart Manufacturing Systems with Stochastic, Technical and Economic Dependences (Show >>)
Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting (Show >>)
Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information (Show >>)
Partially observable Markov decision processes for optimal operations of gas transmission networks (Show >>)
Prediction of CoVid-19 infection, transmission and recovery rates: A new analysis and global societal comparisons (Show >>)
Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model (Show >>)
Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm (Show >>)
Remaining useful life prediction using multi-scale deep convolutional neural network (Show >>)
Risk Analysis of Cyber-Physical Systems by GTST-MLD (Show >>)
Risk-informed approach to the safety improvement of the reactor protection system of the AGN-201K research reactor (Show >>)
Spectral kurtosis of choi-williams distribution and hidden markov model for gearbox fault diagnosis (Show >>)
System reliability-redundancy optimization with cold-standby strategy by an enhanced nest cuckoo optimization algorithm (Show >>)
Time-dependent reliability-based design optimization considering aleatory and epistemic uncertainties (Show >>)
Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed (Show >>)
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Area Servizi ICT
22/06/2024