Degree programme
Programme Structure
Show/Search Programme
Degree Programme
International context
Customized Schedule
Your customized time schedule has been disabled
Search a Professor
Professor's activities
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English
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 (2.44Mb - 10/01/2018)

Professor's office hours
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 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
An integrated framework for analysing operational events in China nuclear power plants (Show >>)
Mesoscale Numerical Modeling for Predicting Wear Debris Generation (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 >>)
A new approach for nuclear reactor analysis based on complex network theory (Show >>)
Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network (Show >>)
A systematic data-driven Demand Side Management method for smart natural gas supply systems (Show >>)
A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology (Show >>)
Integration of feature vector selection and support vector machine for classification of imbalanced data (Show >>)
Prognostics of a multistack PEMFC system with multiagent modeling (Show >>)
A resilience perspective on water transport systems: The case of Eastern Star (Show >>)
An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards (Show >>)
On-line process monitoring during transient operations using weighted distance Auto Associative Bilateral Kernel Regression (Show >>)
An Optimization-Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards (Show >>)
An integrated imputation-prediction scheme for prognostics of battery data with missing observations (Show >>)
Application of reliability technologies in civil aviation: Lessons learnt and perspectives (Show >>)
A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes (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 >>)

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

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

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

List of publications and reserach products for the year 2015 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine (Show >>)
A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems (Show >>)
Reconstruction of missing data in multidimensional time series by fuzzy similarity (Show >>)
Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients (Show >>)
A multi-state physics modeling approach for the reliability assessment of nuclear power plants piping systems (Show >>)
Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method (Show >>)
A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression (Show >>)
Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application (Show >>)
Guest Editorial (Show >>)
Interacting multiple-models, state augmented Particle Filtering for fault diagnostics (Show >>)
A belief function theory based approach to combining different representation of uncertainty in prognostics (Show >>)
Finite mixture models for sensitivity analysis of thermal hydraulic codes for passive safety systems analysis (Show >>)
A visual interactive method for prime implicants identification (Show >>)
Comparison of Data-Driven Reconstruction Methods for Fault Detection (Show >>)
Risk-based clustering for near misses identification in integrated deterministic and probabilistic safety analysis (Show >>)
A Bayesian ensemble of sensitivity measures for severe accident modeling (Show >>)
Ensemble clustering for fault diagnosis in industrial plants (Show >>)
Genetic algorithms for condition-based maintenance optimization under uncertainty (Show >>)
Genetic algorithms in the framework of dempster-shafer theory of evidence for maintenance optimization problems (Show >>)
Monte Carlo simulation-based probabilistic assessment of DG penetration in medium voltage distribution networks (Show >>)
Uncertainty analysis for target SIL determination in the offshore industry (Show >>)
Development and application of deep belief networks for predicting railway operation disruptions (Show >>)
Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions (Show >>)
Analysis of robust optimization for decentralized microgrid energy management under uncertainty (Show >>)
A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine (Show >>)
Reliability assessment of generic geared wind turbines by GTST-MLD model and monte carlo simulation (Show >>)
Hybrid uncertainty and sensitivity analysis of the model of a twin-jet aircraft (Show >>)
Optimization of Cascade-Resilient Electrical Infrastructures and its Validation by Power Flow Modeling (Show >>)
Fault tolerant predictive control design for reliable microgrid energy management under uncertainties (Show >>)
An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction (Show >>)
Network reliability analysis based on percolation theory (Show >>)
Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression (Show >>)
Correlation analysis for screening key parameters for passive system reliability analysis (Show >>)
System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection (Show >>)
Improved metamodel-based importance sampling for the performance assessment of radioactive waste repositories (Show >>)
Reliability analysis of smart grid communication network by simulation (Show >>)
Modeling for prognostics and health management: Methods and applications (Show >>)
A dynamic weighted RBF-based ensemble for prediction of time series data from nuclear components (Show >>)
Estimation of passive systems functional failure probabilities by the modified meta-IS algorithm (Show >>)
Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures (Show >>)
A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data (Show >>)
Fuzzy Reliability Assessment of Systems with Multiple-Dependent Competing Degradation Processes (Show >>)
A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data (Show >>)
Integrated Deterministic and Probabilistic Safety Analysis for Safety Assessment of Nuclear Power Plants (Show >>)
Mathematical applications to reliability and maintenance problems in engineering systems (Show >>)
Invasive weed classification (Show >>)
Variable selection and uncertainty analysis of scale growth rate under pre-salt oil wells conditions using support vector regression (Show >>)
Novelty detection by multivariate kernel density estimation and growing neural gas algorithm (Show >>)
Analysis of the robustness and recovery of critical infrastructures by Goal Tree Success Tree – Dynamic Master Logic Diagram, within a multi-state system-of-systems framework, in the presence of epistemic uncertainty (Show >>)
Scientific Books
Simulation of Life Distributions (Show >>)
Conference proceedings
Identification of the most critical pipes in the presence of imprecise information (Show >>)
Supporting Maintenance Decision with Empirical Models Based on Fleet-Wide Data (Show >>)
Handling reliability big data: A similarity-based approach for clustering a large fleet of assets (Show >>)
Evaluating the impact of climate change on the risk assessment of Nuclear Power Plants (Show >>)
A method for on-line evaluating the accuracy of a particle filter-based prognostic approach (Show >>)
Unsupervised ensemble clustering for transients classification in a nuclear power plant turbine (Show >>)
A COMPacted Object Sample Extraction (COMPOSE)-based Method for fault Diagnostics in Evolving Environment (Show >>)
MUSTADEPT: A tool for the analysis of industrial equipment degradation (Show >>)
Comparison of Weibayes and Markov Chain Monte Carlo methods for the reliability analysis of turbine nozzle components with right censored data only (Show >>)
Risk assessment of a bulk cryogenic tank: Beyond the Leak-Before-Break criterion (Show >>)
A general approach for automating FMECA (Show >>)
Development of a case study for Eco-Industrial park deployment under uncertainty (Show >>)
An Ordinal Optimization approach to the solution of homogenous redundancy allocation for Multi-State Series-Parallel Systems (Show >>)
A novel genetic algorithm developed on a reduced search space for optimal redundancy allocation in Multi-State Series-Parallel Systems (Show >>)
An entropy-driven method for exploring extreme and unexpected accident scenarios in the risk assessment of dynamic engineered systems (Show >>)
A framework of model predictive control for the safety analysis of an electric power microgrid (Show >>)
Application of metamodel-based techniques for the efficient seismic analysis of structural systems (Show >>)
Estimating the small failure probability of a nuclear passive safety system by means of an efficient Adaptive Metamodel-based Subset Importance Sampling method (Show >>)
Assessment of the improvement achieved in RAMS by a FEV embedding a powertrain PHMS (Show >>)
An inference exchange and decision fusing model for separated surveillance units in safety-critical infrastructure (Show >>)
Cascading failure behavior in randomly generated power transmission networks (Show >>)
An Innovative Methodology for Cost Optimization of the Maintenance of Medical Devices (Show >>)
Dynamic reliability models for multiple dependent competing degradation processes (Show >>)
Preface (Show >>)
On the resilience analysis of interconnected systems by a set-theoretic approach (Show >>)
Reliability modeling of a spool valve considering dependencies among failure mechanisms (Show >>)
Sequential Monte Carlo method to assess the availability of power station layouts with generator circuit-breakers (Show >>)
Safety and reliability of complex engineered systems (Show >>)
A Self-Organizing Map-Based Monitoring System for Insulated Gate Bipolar Transistors Operating in Fully Electric Vehicle (Show >>)
Adaptive Support Vector Regression for Long-Term Prediction under Non stationary Environments: Prognostics of Components in Nuclear Power Plants (Show >>)
On a fault tolerant strategy for efficient energy management in microgrid systems (Show >>)
manifesti v. 3.1.9 / 3.1.9
Area Servizi ICT