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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorZio Enrico
QualificationFull professor
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/19 - Nuclear Power Plants
Curriculum VitaeDownload CV (94.52Kb - 24/02/2020)
OrcIDhttps://orcid.org/0000-0002-7108-637X

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Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Energia----MondayFrom 17:30
To 18:30
6340--Previo appuntamento
E-mailenrico.zio@polimi.it
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 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
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 >>)
Risk Analysis of Cyber-Physical Systems by GTST-MLD (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 >>)
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 >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Recensioni su riviste
Artificial intelligence for fault diagnosis of rotating machinery: A review (Show >>)
Contributions on scientific books
Dynamic Accident Scenario Generation, Modeling and Post-Processing for the Integrated Deterministic and Probabilistic Safety Analysis of Nuclear Power Plants (Show >>)
Reliability assessment of systems with dependent degradation processes based on Piecewise-Deterministic Markov process (Show >>)
Resilience of Cyber-Physical Systems: From Risk Modeling to Threat Counteraction (Show >>)
Conference proceedings
A PMS-MMDD model for reliability assessment of multi-state phased-mission system (Show >>)
A flow-based method for identifying critical pipelines in complex natural gas supply systems (Show >>)
A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery (Show >>)
A smart framework for the availability and reliability assessment and management of accelerators technical facilities (Show >>)
Failure modes detection of nuclear systems using machine learning (Show >>)
Integrated deterministic and probabilistic safety assessment of the cooling circuit of a superconducting magnet for nuclear fusion applications (Show >>)
KNN-FSVM for Fault Detection in High-Speed Trains (Show >>)
Modeling the dynamics of fault propagation in complex dynamical network by considering the heterogeneity of nodes (Show >>)
Modeling the effect of air temperature and pressure on the reliability of a passive containment cooling system (Show >>)
Simulation on neural networks for DUET-based delay estimation of abrasive debris signal separation (Show >>)
Stima adattativa del rischio di rottura di componenti in pressione soggetti a creep con un approccio probabilistico (Show >>)
Strength of knowledge assessment for risk informed decision making (Show >>)
Journal Articles
A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks (Show >>)
A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs (Show >>)
A Markov decision process framework for optimal operation of monitored multi-state systems (Show >>)
A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants (Show >>)
A New Analytical Approach for Interval Availability Analysis of Markov Repairable Systems (Show >>)
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms (Show >>)
A Regional Sensitivity Analysis-based Expert System for safety margins control (Show >>)
A clustering approach for mining reliability big data for asset management (Show >>)
A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems (Show >>)
A complex network theory approach for optimizing contamination warning sensor location in water distribution networks (Show >>)
A data mining framework within the Chinese NPPs operating experience feedback system for identifying intrinsic correlations among human factors (Show >>)
A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis (Show >>)
A novel support vector regression method for online reliability prediction under multi-state varying operating conditions (Show >>)
A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency (Show >>)
A scalable fuzzy support vector machine for fault detection in transportation systems (Show >>)
A stochastic hybrid systems model of common-cause failures of degrading components (Show >>)
A systematic framework of vulnerability analysis of a natural gas pipeline network (Show >>)
A systematic hybrid method for real-time prediction of system conditions in natural gas pipeline networks (Show >>)
Accelerated life test for reliability evaluation of pneumatic cylinders (Show >>)
Adaptive simulation for failure identification in the Advanced Lead Fast Reactor European Demonstrator (Show >>)
Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load (Show >>)
Aliasing signal separation of superimposed abrasive debris based on degenerate unmixing estimation technique (Show >>)
An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors (Show >>)
An improved probabilistic method for screening safety-related human actions in nuclear power plants (Show >>)
An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production (Show >>)
An integrated systemic method for supply reliability assessment of natural gas pipeline networks (Show >>)
Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants (Show >>)
Condition-based probabilistic safety assessment of a spontaneous steam generator tube rupture accident scenario (Show >>)
Development of a methodology for systematic analysis of risk reduction by protective measures in tyre production machinery (Show >>)
Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics (Show >>)
Dynamic Risk Assessment Based on Statistical Failure Data and Condition-Monitoring Degradation Data (Show >>)
Dynamic-weighted ensemble for fatigue crack degradation state prediction (Show >>)
Electrical and topological drivers of the cascading failure dynamics in power transmission networks (Show >>)
Ensembles of climate change models for risk assessment of nuclear power plants (Show >>)
Extreme Learning Machine Based Prognostics of Battery Life (Show >>)
Fault trees analysis using expert opinion based on fuzzy-bathtub failure rates (Show >>)
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components (Show >>)
Hybrid Probabilistic-Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads (Show >>)
Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions (Show >>)
Ieee Access Special Section Editorial:Complex System Health Management Based on Condition Monitoring and Test Data (Show >>)
Modeling an electric power microgrid by model predictive control for analyzing its characteristics from reliability, controllability and topological perspectives (Show >>)
Modeling and analysis of mover gaps in tubular moving-magnet linear oscillating motors (Show >>)
Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data (Show >>)
Redundancy allocation problem in a bridge system with dependent subsystems (Show >>)
Reinforcement learning-based flow management of gas turbine parts under stochastic failures (Show >>)
Reliability assessment of multi-state phased mission system with non-repairable multi-state components (Show >>)
Reliability assessment of phased-mission systems under random shocks (Show >>)
Remaining useful life prediction of degrading systems subjected to imperfect maintenance: Application to draught fans (Show >>)
Scenario Analysis for the Safety Assessment of Nuclear Waste Repositories: A Critical Review (Show >>)
Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment (Show >>)
System Risk Importance Analysis Using Bayesian Networks (Show >>)
The evolution of system reliability optimization (Show >>)
The future of risk assessment (Show >>)
Uncertainty theory as a basis for belief reliability (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Benchmark of Dynamic Reliability Methods for Probabilistic Safety Assessment (Show >>)
A Dynamic Weighting Ensemble Approach for Wind Energy Production Prediction (Show >>)
A Framework for Multi-Hazards Risk Aggregation Considering Risk Model Maturity Levels (Show >>)
A HIERARCHICAL TREE-BASED DECISION MAKING APPROACH FOR ASSESSING THE TRUSTWORTHINESS OF RISK ASSESSMENT MODELS (Show >>)
A Hybrid Monte Carlo and Possibilistic Approach to Estimate Non-Suppression Probability in Fire Probabilistic Safety Analysis (Show >>)
A fault diagnostic tool based on a first principle model simulator (Show >>)
A method for storage status assessment of electronic devices by model-based prognostics (Show >>)
A multi-state physics modeling for estimating the size- and location-dependent loss of coolant accident initiating event probability (Show >>)
A sensitivity analysis for the adequacy assessment of a multi-state physics modeling approach for reliability analysis (Show >>)
A switching ensemble approach for remaining useful life estimation of electrolytic capacitors (Show >>)
Adaptive Artificial Neural Networks for Seismic Fragility Analysis (Show >>)
Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors (Show >>)
An Analytic Hierarchy Process Approach for the Security Assessment of High Speed Railway Construction Sites (Show >>)
An integrated framework for business continuity management of critical infrastructures (Show >>)
An integrated framework for condition-informed probabilistic risk assessment (Show >>)
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry (Show >>)
Analyzing controllability, efficiency and reliability of network systems by dynamic simulation (Show >>)
Bayesian approach for safety barrier portfolio optimization (Show >>)
Bayesian approach for safety barrier portfolio optimization (Show >>)
Computation of Seismic Fragility Curves Using Artificial Neural Network Metamodels (Show >>)
Dimensionality reduction of the resilience model of a critical infrastructure network by means of elementary effects sensitivity analysis (Show >>)
Dynamic reliability assessment and prognostics with monitored data for multiple dependent degradation components (Show >>)
Estimation of failure on-demand probability and malfunction rate values in cyber-physical systems of nuclear power plants (Show >>)
Framework for quantitative resilience analysis of maritime transportation systems from risk perspectives: A case study of a ship stuck in ice in arctic waters (Show >>)
Interval-valued importance measures for business continuity management (Show >>)
Local fusion of an ensemble of semi-supervised self organizing maps for post-processing accidental scenarios (Show >>)
Model ensemble-based prognostic framework for fatigue crack growth prediction (Show >>)
Modeling common-cause failures using stochastic hybrid systems (Show >>)
Modeling epistemic uncertainty in resilience assessment for water transportation systems (Show >>)
Modelling Unexpected Failures with a Hierarchical Bayesian Model (Show >>)
Optimizing the Resilience of Interdependent Infrastructure Systems against Intentional Attacks (Show >>)
Quantifying the importance of elements of a gas transmission network from topological, reliability and controllability perspectives, considering capacity constraints (Show >>)
Resilience modeling of multi-state degradation systems based on aggregated stochastic processes (Show >>)
Resistance-based probabilistic design by order statistics for an oil and gas deep-water well casing string affected by wear during kick load (Show >>)
Risk-informed decision making under incomplete information: portfolio decision analysis and credal networks (Show >>)
Robust portfolio modelling methodological approach to gb gas grid risk analysis via a simplified network version (Show >>)
Some reflections on pre- and post-accident analysis for water transport: A case study of the eastern star accident (Show >>)
System Reliability-Redundancy Allocation by Evolutionary Computation (Show >>)
The Energy Management and Optimization Strategy for Fuel Cell Hybrid Ships (Show >>)
Time-dependent reliability assessment of a distributed generation system based on multi-valued decision diagrams and Markov processes (Show >>)
Journal Articles
A Bayesian Optimal Design for Accelerated Degradation Testing Based on the Inverse Gaussian Process (Show >>)
A General Framework for the Assessment of Power System Vulnerability to Malicious Attacks (Show >>)
A SVM framework for fault detection of the braking system in a high speed train (Show >>)
A Stochastic Hybrid Systems based framework for modeling dependent failure processes (Show >>)
A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment (Show >>)
A classification-based framework for trustworthiness assessment of quantitative risk analysis (Show >>)
A compositional method to model dependent failure behavior based on PoF models (Show >>)
A critique of reliability prediction techniques for avionics applications (Show >>)
A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes (Show >>)
A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods (Show >>)
A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets (Show >>)
A model-based reliability metric considering aleatory and epistemic uncertainty (Show >>)
A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions (Show >>)
A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters (Show >>)
Advanced monte carlo methods and applications (Show >>)
Aggregation of importance measures for decision making in reliability engineering (Show >>)
An Adaptive Metamodel-Based Subset Importance Sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system (Show >>)
An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems (Show >>)
An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data (Show >>)
An integrated modeling framework for quantitative business continuity assessment (Show >>)
Availability Model of a PHM-Equipped Component (Show >>)
Bootstrapped Artificial Neural Networks for the seismic analysis of structural systems (Show >>)
Comparing network-centric and power flow models for the optimal allocation of link capacities in a cascade-resilient power transmission network (Show >>)
Determination of prime implicants by differential evolution for the dynamic reliability analysis of non-coherent nuclear systems (Show >>)
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components (Show >>)
Editorial: Special Issue of ESREL 2015 (Show >>)
Ensemble of optimized echo state networks for remaining useful life prediction (Show >>)
Estimation of rare event probabilities in power transmission networks subject to cascading failures (Show >>)
Input-output Inoperability Model for the risk analysis of eco-industrial parks (Show >>)
Model Uncertainty in Accelerated Degradation Testing Analysis (Show >>)
Modeling dependent competing failure processes with degradation-shock dependence (Show >>)
Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant (Show >>)
Portfolio optimization of safety measures for reducing risks in nuclear systems (Show >>)
Postprocessing of Accidental Scenarios by Semi-Supervised Self-Organizing Maps (Show >>)
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory (Show >>)
Reliability model of a component equipped with PHM capabilities (Show >>)
Remaining storage life prediction for an electromagnetic relay by a particle filtering-based method (Show >>)
Risk assessment of power transmission network failures in a uniform pricing electricity market environment (Show >>)
Safety margin sensitivity analysis for model selection in nuclear power plant probabilistic safety assessment (Show >>)
Simulation-based exploration of high-dimensional system models for identifying unexpected events (Show >>)
System dynamic reliability assessment and failure prognostics (Show >>)
Three-loop Monte Carlo simulation approach to Multi-State Physics Modeling for system reliability assessment (Show >>)
Weighted-feature and cost-sensitive regression model for component continuous degradation assessment (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Repairable Dynamic Event Tree for the safety assessment of a steam generator of a nuclear power plant (Show >>)
A Semi-Supervised Self Organizing Map for Post-Processing the Scenarios of an Integrated Deterministic and Probabilistic Safety Analysis (Show >>)
A comparison between extreme learning machine and artificial neural network for remaining useful life prediction (Show >>)
A framework for asset prognostics from fleet data (Show >>)
A fuzzy event tree model for accident scenario analysis of ship stuck in ice in arctic waters (Show >>)
A semi-supervised feature selection approach for fault diagnostics in evolving environments (Show >>)
An ontological approach for run-time safety management in smart work environments (Show >>)
Comparison of Dynamic Reliability Methods for Probabilistic Safety Assessment (Show >>)
Fire compartment partitioning approaches for fire probabilistic safety analysis of a high-temperature gas-cooled reactor (Show >>)
Optimization of a Dynamic Uncertain Causality Graph (DUCG) for Fault Diagnostics in Nuclear Power Plants by Genetic Algorithm (Show >>)
Prediction capability assessment of data-driven prognostic methods for railway industry by an in-depth-quality-control strategy (Show >>)
Prediction of peak values in time series data for prognostics of critical components in nuclear power plants (Show >>)
The Role of Italian universities/CIRTEN for the engineering study of a fission-fusion hybrid reactor (FFHR) (Show >>)
echo state network for the remaining useful life prediction of a turbofan engine (Show >>)
Journal Articles
A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment (Show >>)
A Criticality-based Approach for the Analysis of Smart Grids (Show >>)
A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined with Analytical Selection (Show >>)
A Reliability Assessment Framework for Systems with Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation (Show >>)
A SVR-based ensemble approach for drifting data streams with recurring patterns (Show >>)
A Thermorisk framework for the analysis of energy systems by combining risk and exergy analysis (Show >>)
A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis (Show >>)
A methodological framework for Eco-Industrial Park design and optimization (Show >>)
A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems (Show >>)
A penalty guided stochastic fractal search approach for system reliability optimization (Show >>)
A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks (Show >>)
Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems (Show >>)
An adaptive online learning approach for Support Vector Regression: Online-SVR-FID (Show >>)
An approach based on Support Vector Machines and a K-D Tree search algorithm for identification of the failure domain and safest operating conditions in nuclear systems (Show >>)
Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors (Show >>)
Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions (Show >>)
Bootstrapped-ensemble-based Sensitivity Analysis of a trace thermal-hydraulic model based on a limited number of PWR large break loca simulations (Show >>)
Challenges in the vulnerability and risk analysis of critical infrastructures (Show >>)
Component Importance Measures for Components with Multiple Dependent Competing Degradation Processes and Subject to Maintenance (Show >>)
Component- and system-level degradation modeling of digital Instrumentation and Control systems based on a Multi-State Physics Modeling Approach (Show >>)
Critical Infrastructures Vulnerability and Risk Analysis (Show >>)
Empirical Comparison of Two Methods for the Bayesian Update of the Parameters of Probability Distributions in a Two-Level Hybrid Probabilistic-Possibilistic Uncertainty Framework for Risk Assessment (Show >>)
Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation (Show >>)
Feature vector regression with efficient hyperparameters tuning and geometric interpretation (Show >>)
Framework for the quantitative assessment of the risk of leakage from LNG-fueled vessels by an event tree-CFD (Show >>)
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions (Show >>)
Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: A sensitivity-based decision-making approach (Show >>)
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach (Show >>)
Improving scheduled maintenance by missing data reconstruction: A double-loop Monte Carlo approach (Show >>)
Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant (Show >>)
Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics (Show >>)
Modeling the release and transport of 90Sr radionuclides from a superficial nuclear storage facility (Show >>)
Online Performance Assessment Method for a Model-Based Prognostic Approach (Show >>)
Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions (Show >>)
Probability box as a tool to model and control the effect of epistemic uncertainty in multiple dependent competing failure processes (Show >>)
Reliability Analysis of Systems of Systems (Show >>)
Reliability analysis of interdependent lattices (Show >>)
Reliability assessment of systems subject to dependent degradation processes and random shocks (Show >>)
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions (Show >>)
Resilience analysis framework for interconnected critical infrastructures (Show >>)
Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems (Show >>)
Risk-based optimization of pipe inspections in large underground networks with imprecise information (Show >>)
SVM hyperparameters tuning for recursive multi-step-ahead prediction (Show >>)
Semi-Markov Model for the Oxidation Degradation Mechanism in Gas Turbine Nozzles (Show >>)
Some challenges and opportunities in reliability engineering (Show >>)
Transient identification by clustering based on Integrated Deterministic and Probabilistic Safety Analysis outcomes (Show >>)
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction (Show >>)
Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM (Show >>)
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
04/08/2020