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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)
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 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 >>)
A HIERARCHICAL TREE-BASED DECISION MAKING APPROACH FOR ASSESSING THE TRUSTWORTHINESS OF RISK ASSESSMENT MODELS (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
23/11/2019