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ProfessorZio Enrico
QualificationFull professor
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/19 - Nuclear Power Plants
Curriculum VitaeDownload CV (99.23Kb - 19/01/2021)

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Energia----MondayFrom 17:30
To 18:30
6340--Previo appuntamento
Professor's 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 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Bootstrapped Modularised method of Global Sensitivity Analysis applied to Probabilistic Seismic Hazard Assessment (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 >>)
An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries (Show >>)
Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures (Show >>)
Guest Editorial: Special Issue of ESREL2020 PSAM15 (Show >>)
Robust multi-objective optimization of safety barriers performance parameters for NaTech scenarios risk assessment and management (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 >>)
Conference proceedings
A Two-Stage Stochastic Unit Commitment Model for Wind-integrated Power Systems Flexibility Assessment (Show >>)
Estimation of the Lower Heating Value of Solid Recovered Fuel Based on Swir Hyper-Spectral Images and Machine Learning (Show >>)
The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment (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 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 >>)
Deep Multi-adversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment (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 planning strategy for maintenance interventions under complex systems (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 >>)
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 >>)
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 >>)

List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Scheda Bibliografica
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories (Show >>)
Abstract in Atti di convegno
Modelling the Aging Process of a Cyber Physical System (Show >>)
Contributions on scientific books
A non-parametric cumulative sum approach for online diagnostics of cyber attacks to nuclear power plants (Show >>)
Conference proceedings
A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators (Show >>)
A condition-based probabilistic safety assessment framework for the estimation of the frequency of core damage due to an induced steam generator tube rupture (Show >>)
A dynamic safety margins estimation with a limited number of PWR large break LOCA simulations (Show >>)
Aliasing signal separation for superimposition of inductive debris detection using CNN-Based DUET (Show >>)
An Importance Measure to Assess the Value of a Component Inspection Policy (Show >>)
An improved cell transmission model of traffic considering electric vehicles and charging stations (Show >>)
Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks (Show >>)
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders (Show >>)
Availability Optimization of Parallel-Series System by Evolutionary Computation (Show >>)
Experimental study on inductive method for online material loss detection with high debris concentration (Show >>)
Joint Optimization of Business Continuity by Designing Safety Barriers for Accident Prevention, Mitigation and Emergency Responses (Show >>)
Mechanical Wear Life Prediction Based on Abrasive Debris Generation (Show >>)
Power System Design for Resilience and Flexibility Against Extreme Weather Events (Show >>)
Risk Assessment of Electrical Power Systems Considering Traffic Congestion (Show >>)
SOAR on Reliability of Thermal-Hydraulic Passive Systems (SOAR-RPS) (Show >>)
Value of Information from Condition Inspection for a Gamma Degradation Process (Show >>)
VoI-Based Optimal Sensors Positioning and the Sub-Modularity Issue (Show >>)
Scientific Books
Stima adattiva del rischio di rottura di attrezzature in pressione, sulla base dei dati di monitoraggio (Show >>)
Journal Articles
A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes (Show >>)
A framework for dynamic risk assessment with condition monitoring data and inspection data (Show >>)
A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model (Show >>)
A method for the multi-objective optimization of the operation of natural gas pipeline networks considering supply reliability and operation efficiency (Show >>)
A modeling and optimization framework for power systems design with operational flexibility and resilience against extreme heat waves and drought events (Show >>)
A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology (Show >>)
A new approach for nuclear reactor analysis based on complex network theory (Show >>)
A reinforcement learning framework for optimal operation and maintenance of power grids (Show >>)
A resilience perspective on water transport systems: The case of Eastern Star (Show >>)
A systematic data-driven Demand Side Management method for smart natural gas supply systems (Show >>)
Adversarial Risk Analysis to Allocate Optimal Defense Resources for Protecting Cyber–Physical Systems from Cyber Attacks (Show >>)
An Optimization-Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards (Show >>)
An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies (Show >>)
An adaptive particle swarm optimization method for multi-objective system reliability optimization (Show >>)
An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards (Show >>)
An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells (Show >>)
An integrated framework for analysing operational events in China nuclear power plants (Show >>)
An integrated imputation-prediction scheme for prognostics of battery data with missing observations (Show >>)
Analysis of configuration data errors in Communication-based Train Control systems (Show >>)
Application of reliability technologies in civil aviation: Lessons learnt and perspectives (Show >>)
Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories (Show >>)
Condition-based probabilistic safety assessment for maintenance decision making regarding a nuclear power plant steam generator undergoing multiple degradation mechanisms (Show >>)
Degradation state mining and identification for railway point machines (Show >>)
Dynamic business continuity assessment using condition monitoring data (Show >>)
Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems (Show >>)
Ensemble of Models for Fatigue Crack Growth Prognostics (Show >>)
Fatigue crack growth assessment method subject to model uncertainty (Show >>)
Fatigue strength reliability assessment of turbo-fan blades by kriging-based distributed collaborative response surface method (Show >>)
Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis (Show >>)
Importance analysis considering time-varying parameters and different perturbation occurrence times (Show >>)
Integration of feature vector selection and support vector machine for classification of imbalanced data (Show >>)
Mesoscale Numerical Modeling for Predicting Wear Debris Generation (Show >>)
On-line process monitoring during transient operations using weighted distance Auto Associative Bilateral Kernel Regression (Show >>)
Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network (Show >>)
Portfolio decision analysis for risk-based maintenance of gas networks (Show >>)
Portfolio optimization of safety measures for the prevention of time-dependent accident scenarios (Show >>)
Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system (Show >>)
Prognostics of a multistack PEMFC system with multiagent modeling (Show >>)
RAMS Optimization (Show >>)
Remaining useful life prediction based on a double-convolutional neural network architecture (Show >>)
Resilience of Smart Power Grids to False Pricing Attacks in the Social Network (Show >>)
Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling (Show >>)
manifesti v. 3.5.10 / 3.5.10
Area Servizi ICT