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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
English
Informazioni
DocenteZio Enrico
QualificaProfessore ordinario a tempo definito
Dipartimento d'afferenzaDipartimento di Energia
Settore Scientifico DisciplinareIIND-07/D - Impianti Nucleari
Curriculum VitaeScarica il CV (106.37Kb - 16/02/2024)
OrcIDhttps://orcid.org/0000-0002-7108-637X

Contatti
Orario di ricevimento
DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
Energia------LunedìDalle 17:30
Alle 18:30		6340---Previo appuntamento
E-mailenrico.zio@polimi.it
Pagina web redatta a cura del docentehttp://lasar.cesnef.polimi.it

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2026
Nessun prodotto attualmente registrato nell'anno 2026


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2025 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
A dynamic importance function for accidental scenarios generation by RESTART in the computational risk assessment of cyber-physical infrastructures (Mostra >>)
A modelling framework to analyze climate change effects on radionuclide aquifer contamination (Mostra >>)
A probabilistic modeling and simulation framework for power grid flood risk assessment, International Journal of Disaster Risk Reduction (Mostra >>)
Dynamic inoperability input-output modeling of a system of systems made of multi-state interdependent critical infrastructures (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A Bayesian Regularized Artificial Neural Network for Estimating The Ignition Probability In Oil And Gas Plants (Mostra >>)
A Classification Problem Formulation for the Reliability Assessment of End-to-End Communication Among Cyber Devices of Cyber-Physical Systems (Mostra >>)
A Deep Reinforcement Learning Method for Finding the Risk-Based Optimal Prescriptive Maintenance Policy of Degrading Safety Barriers (Mostra >>)
A Dynamic Bayesian Network for the Performance Assessment of Nuclear Waste Repositories Undergoing Chemical Degradation due to Climate Change (Mostra >>)
A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems (Mostra >>)
ARtificial Intelligence and STOchasTic Simulation for the rEsiLience of Critical InfrastructurES (ARISTOTELES) (Mostra >>)
An Empirical method for Inverse Uncertainty Quantification in Critical Flow Simulation (Mostra >>)
Estimation of Real-Time Bottomhole Parameters in CO2 Injection Wells During Operations by Means of an Ensemble of Neural Networks (Mostra >>)
Inoperability Assessment of Interdependent Critical Infrastructures by Minimal Inoperability Sets Analysis (Mostra >>)
Mean Variance Estimation Neural Network Particle Filter for Predicting Battery Remaining Useful Life (Mostra >>)
Quantum-like Uncertainty Quantification (QUQ) for urban sustainability and resilience (Mostra >>)
Simulation-Based Probabilistic Risk Assessment (SIMPRA) of Integrated Road-Power Infrastructures Travelled by EVs and ICVs (Mostra >>)
Uncertainty-Aware Prediction of Remaining Useful Life in Complex Systems (Mostra >>)
Monografie o trattati scientifici
An Artificial Intelligence-Based Framework for Burn-in Reduction in the Semiconductor Manufacturing Industry (Mostra >>)
Articoli su riviste
A Bayesian data-driven framework for aleatoric and epistemic uncertainty quantification in remaining useful life predictions (Mostra >>)
A Framework for the Evaluation of Network Reliability under Periodic Demand (Mostra >>)
A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process (Mostra >>)
A Multistage Physics-Informed Neural Network for Fault Detection in Regulating Valves of Nuclear Power Plants (Mostra >>)
A Physics-of-Failure (PoF) model-based Dynamic Bayesian Network for considering the aging of safety barriers in the risk assessment of industrial facilities (Mostra >>)
A STAMP-Game model for accident analysis in oil and gas industry (Mostra >>)
A Systematic Approach of Global Sensitivity Analysis and Its Application to a Model for the Quantification of Resilience of Interconnected Critical Infrastructures (Mostra >>)
A blockchain-based credibility evaluation scheme for navigational event dissemination in the internet of ships (Mostra >>)
A condition-informed dynamic Bayesian network framework to support severe accident management in nuclear power plants (Mostra >>)
A network-based approach to improving robustness of a high-speed train by structure adjustment (Mostra >>)
A novel methodology based on long short-term memory stacked autoencoders for unsupervised detection of abnormal working conditions in semiconductor manufacturing systems (Mostra >>)
A novel methodology for the optimization of design parameters of electromagnetic relays (Mostra >>)
A physics-informed autoencoder for system health state assessment based on energy-oriented system performance (Mostra >>)
A simulation-based approach for resilience assessment of process system: A case of LNG terminal system (Mostra >>)
A systematic approach for the adequacy analysis of a set of experimental databases: Application in the framework of the ATRIUM activity (Mostra >>)
Accelerated degradation testing for lifetime analysis considering random effects and the influence of stress and measurement errors (Mostra >>)
An agent-based cooperative co-evolutionary framework for optimizing the production planning of energy supply chains under uncertainty scenarios (Mostra >>)
Application of REPAS to analyze the sump clogging issue following a LOCA and its impact on the reliability of the ECCS long-term core cooling function (Mostra >>)
Battery cumulative lifetime prognostics to bridge laboratory and real-life scenarios (Mostra >>)
Bi-level task planning strategy for blended-wing-body underwater gliders (Mostra >>)
Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets (Mostra >>)
Coordinating dynamic traffic-power systems under decentralized and centralized decision environments (Mostra >>)
Data Adequacy by an Extended Analytic Hierarchy Process for Inverse Uncertainty Quantification in Nuclear Safety Analysis (Mostra >>)
Data and Model Combined Unsupervised Fault Detection and Assessment Framework for Underwater Thruster (Mostra >>)
Digital twins in safety analysis, risk assessment and emergency management (Mostra >>)
Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty (Mostra >>)
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study (Mostra >>)
Dynamic weight-based accelerated test modeling for fault degradation and lifetime analysis (Mostra >>)
Ecological network analysis and optimization of resilience and efficiency for electric power systems design (Mostra >>)
Editoral on special issue “Text mining applied to risk analysis, maintenance and safety” (Mostra >>)
Enhancing accuracy of prediction of critical heat flux in Circular channels by ensemble of deep sparse autoencoders and deep neural Networks (Mostra >>)
Ensemble of Artificial Neural Networks for Approximating the Survival Signature of Critical Infrastructures (Mostra >>)
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths (Mostra >>)
Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant (Mostra >>)
Fifty years of reliability in operations research (Mostra >>)
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework (Mostra >>)
GMM-BinSeg: A Data Segmentation Method for CFRP/Aluminum Stacks Drilling- Countersinking Monitoring Signal (Mostra >>)
Global Sensitivity Analysis for Segmented Inverse Uncertainty Quantification in the Safety Analysis of Nuclear Power Plants (Mostra >>)
Heavy Tail and Long-Range Dependence for Skewed Time Series Prediction Based on a Fractional Weibull Process (Mostra >>)
Impact of Malfunctioning Sensors on Data-Driven Reduced Order Modelling: Application to Molten Salt Reactors (Mostra >>)
Industry 5.0: Do risk assessment and risk management need to update? And if yes, how? (Mostra >>)
Integration of artificial intelligence within an advanced filtering framework for real-time system state estimation and risk prediction with application to a nuclear microreactor (Mostra >>)
Managing secondary risks with optimal risk response strategy and risk-related resource scheduling (Mostra >>)
Monte Carlo Tree Search-based Deep Reinforcement Learning for Flexible Operation & Maintenance Optimization of a Nuclear Power Plant (Mostra >>)
Multidomain Class-Imbalance Generalization With Fault Relationship-Induced Augmentation for Intelligent Fault Diagnosis (Mostra >>)
Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors (Mostra >>)
On the prediction of power outage length based on linear multifractional Lévy stable motion (Mostra >>)
Operating Condition Generalization Network for Fault Diagnosis of Brushless DC Motors (Mostra >>)
Physical model embedding-based generative adversarial networks for unsupervised fault detection of underwater thrusters (Mostra >>)
Physics-Informed deep Autoencoder for fault detection in New-Design systems (Mostra >>)
Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs (Mostra >>)
Prognostics and Health Management Methods for Reliability Prediction and Predictive Maintenance (Mostra >>)
Reliability Optimization (Mostra >>)
Reliability improvement of the dredging perception system: A sensor fault-tolerant strategy (Mostra >>)
Risk-Informing Nuclear Reactor Safety: The Prediction of the Probability of Core Damage Due to Loss of Power and Cooling (Mostra >>)
Securing demand–response in smart grids against false pricing attacks (Mostra >>)
Sensitivity analysis by differential importance measure for unsupervised fault diagnostics (Mostra >>)
Simultaneous Fault Diagnosis and Size Estimation Using Multitask Federated Incremental Learning (Mostra >>)
Subdomain Adaptation Order Network for Fault Diagnosis of Brushless DC Motors (Mostra >>)
Sustainable mega-seaports with integrated multi-energy systems: Life-cycle environmental and economic evaluation (Mostra >>)
TSoSRA: A task-oriented resilience assessment framework for system-of-systems (Mostra >>)
The atypical transport system: Natural gas pipeline system (Mostra >>)
Threshold-Varying Assessment for Prognostics and Health Management (Mostra >>)
Unsupervised Fault Detection of Brushless DC Motors under Multioperating Conditions via Order Hybrid Interpolated Gaussian Descriptor (Mostra >>)
Vulnerability Analysis of Power Transmission Grids Subject to Cascading Failures (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Digital Twin Modeling for Enhanced Operational Reliability: A Case Study on a Dredging Perception System (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
Advanced Intelligent Pipeline Management Technology (Mostra >>)
Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems (Mostra >>)
Contributo in Atti di convegno
A General Data-Driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Split Conformal Prediction (Mostra >>)
A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets (Mostra >>)
An Effective Knowledge Mining Method for Compressor Fault Text Data Based on Large Language Model (Mostra >>)
An Importance Function to Generate Scenarios for Training a Grey-Box Model for the Computational Risk Assessment of Cyber-Physical Systems (Mostra >>)
Analysis of Road Transport Networks Travelled by both Internal Combustion and Electric Vehicles and Subject to Traffic Congestion due to Incident Scenarios (Mostra >>)
Cascades-Risk Informed Transmission Expansion Planning by Behavioural Cloning (Mostra >>)
Community Detection Algorithm for Natural Gas Pipeline Network Based on Transmission Characteristics (Mostra >>)
Development of a Repeatable and Objective Decision Model for the Human Error Probability Estimation According to the HEART Framework (Mostra >>)
Energy-Efficient Scheduling of Flexible Manufacturing Systems Based on Petri Net (Mostra >>)
Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection (Mostra >>)
Key Performance Indicators of Aging Safety Barriers in Oil and Gas Facilities (Mostra >>)
Optimization Method for an Improved Training of Physics Informed Neural Networks (Mostra >>)
Prediction of the Number of Defectives in a Production Batch of Semiconductor Devices (Mostra >>)
Probabilistic simulation model of resilience assessment of natural gas pipeline systems (Mostra >>)
Quantum Imprecise Bayesian Networks (QIBN) for Modelling Socio-Ecological-Technical Systems under Uncertainty (Mostra >>)
Reliability Analysis of Telecommunication Networks from Customer Damage Perspective: An Overview of Two Techniques (Mostra >>)
Study on the Application of Graph Theory Algorithms and Attack Graphs in Cybersecurity Assessment (Mostra >>)
Two formal methodologies of Model-Based Safety Assessment for Fault Tree Analysis (Mostra >>)
Monografie o trattati scientifici
Governance of Smart Energy Systems (Mostra >>)
Articoli su riviste
A Bootstrapped Modularised method of Global Sensitivity Analysis applied to Probabilistic Seismic Hazard Assessment (Mostra >>)
A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines (Mostra >>)
A Deep Learning Feature Fusion Based Health Index Construction Method for Prognostics Using Multiobjective Optimization (Mostra >>)
A Semisupervised Deep Hybrid Multitask Model for RUL Prediction (Mostra >>)
A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks (Mostra >>)
A multi-objective optimization model for identifying groups of critical elements in a high-speed train (Mostra >>)
A novel approach for remaining useful life prediction of high-reliability equipment based on long short-term memory and multi-head self-attention mechanism (Mostra >>)
A resilience evaluation method of natural gas pipeline system based on uncertainty analysis (Mostra >>)
A restoration-clustering-decomposition learning framework for aging-related failure rate estimation of distribution transformers (Mostra >>)
A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply (Mostra >>)
A signal segmentation method for CFRP/CFRP stacks drilling-countersinking monitoring (Mostra >>)
A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model (Mostra >>)
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data (Mostra >>)
Adaptive Residual Useful Life Prediction for the Insulated-Gate Bipolar Transistors with Pulse-Width Modulation Based on Multiple Modes and Transfer Learning (Mostra >>)
Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines (Mostra >>)
An Adaptive Sampling Framework for Life Cycle Degradation Monitoring (Mostra >>)
An advanced teaching-learning-based algorithm to solve unconstrained optimization problems (Mostra >>)
An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries (Mostra >>)
An optimization model for planning testing and control strategies to limit the spread of a pandemic – The case of COVID-19 (Mostra >>)
Bi-objective optimization of the scheduling of risk-related resources for risk response (Mostra >>)
Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions (Mostra >>)
Data-driven optimal strategy for scheduling the hourly uncertain demand response in day-ahead markets (Mostra >>)
Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment (Mostra >>)
Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures (Mostra >>)
Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning (Mostra >>)
Guest Editorial: Special Issue of ESREL2020 PSAM15 (Mostra >>)
Guest Editorial: Special Issue of ESREL2020 PSAM15 (Mostra >>)
Hybrid system response model for condition monitoring of bearings under time-varying operating conditions (Mostra >>)
Improving resilience of high-speed train by optimizing repair strategies (Mostra >>)
Insights in the safety analysis of an early microreactor design (Mostra >>)
Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems (Mostra >>)
Maintenance optimization in industry 4.0 (Mostra >>)
Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries (Mostra >>)
Multi-objective reliability and cost optimization of fuel cell vehicle system with fuzzy feasibility (Mostra >>)
Multi-objective two-stage stochastic unit commitment model for wind-integrated power systems: A compromise programming approach (Mostra >>)
Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift (Mostra >>)
Opportunistic maintenance policies for multi-machine production systems with quality and availability improvement (Mostra >>)
Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning (Mostra >>)
Physics informed neural networks for surrogate modeling of accidental scenarios in nuclear power plants (Mostra >>)
Physics-Guided Generative Adversarial Networks for fault detection of underwater thruster (Mostra >>)
Quantum reliability analysis of a wireless telecommunication network (Mostra >>)
Redundancy Allocation of Components with Time-Dependent Failure Rates (Mostra >>)
Reliability evaluation of the hybrid-redundancy sensor fault tolerate system in the dredging perception system (Mostra >>)
Remaining Useful Life Prediction of Lithium-Ion Battery Based on Adaptive Fractional Lévy Stable Motion with Capacity Regeneration and Random Fluctuation Phenomenon (Mostra >>)
Resilience of Natural Gas Pipeline System: A Review and Outlook (Mostra >>)
Robust multi-objective optimization of safety barriers performance parameters for NaTech scenarios risk assessment and management (Mostra >>)
Robust optimization of the design of monopropellant propulsion control systems using an advanced teaching-learning-based optimization method (Mostra >>)
Routing UAVs in landslides Monitoring: A neural network heuristic for team orienteering with mandatory visits (Mostra >>)
Seismic resilience assessment of Small Modular Reactors by a Three-loop Monte Carlo Simulation (Mostra >>)
Special Section on Community Resilience to Disruptive Events: Models and Analyses, Lessons Learned and Case Studies (Mostra >>)
Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system (Mostra >>)
The Aramis Data Challenge to prognostics and health management methods for application in evolving environments (Mostra >>)
Vision-Based Defect Measurement of Drilled CFRP Composites Using Double-Light Imaging (Mostra >>)
Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributi su volumi (Capitolo o Saggio)
A Simulation-Based Framework for the Adequacy Assessment of Integrated Energy Systems Exposed to Climate Change (Mostra >>)
Fault Detection by Signal Reconstruction in Nuclear Power Plants (Mostra >>)
Optimal Management of the Flow of Parts for Gas Turbines Maintenance by Reinforcement Learning and Artificial Neural Networks (Mostra >>)
Contributo in Atti di convegno
A Grey-Box Digital Twin-based Approach for Risk Monitoring of Nuclear Power Plants (Mostra >>)
A Mathematical Framework for the Evaluation of System Expected Utility Not Satisfied Under Periodic Demand (Mostra >>)
A Methodological Framework for the Resilience Analysis of Road Transport Networks Exposed to Freezing Rain (Mostra >>)
A Methodology for the Dynamic Risk Assessment of Nuclear Batteries (Mostra >>)
A Physics-Informed Training Approach for Data-Driven Method in Remaining Useful Life Estimation (Mostra >>)
A Taxonomy for Modelling Reports of Process Safety Events in the Oil and Gas Industry (Mostra >>)
A Two-Stage Stochastic Unit Commitment Model for Wind-integrated Power Systems Flexibility Assessment (Mostra >>)
An Unsupervised Method for Anomaly Detection in Multi-Stage Production Systems Based on LSTM Autoencoders (Mostra >>)
Calculation of the Collapse Rating of Individual Pipe Joints for OCTG Casing and Tubing (Mostra >>)
Collaborative Kernel-based Nonlinear Degradation Modeling with Transfer Learning for Remaining Useful Life Prediction (Mostra >>)
Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network (Mostra >>)
Estimation of the Lower Heating Value of Solid Recovered Fuel Based on Swir Hyper-Spectral Images and Machine Learning (Mostra >>)
Experimental Investigation of Failure Thresholds of Rolling Element Bearings (Mostra >>)
Grey-Box Models for Cyber-Physical Systems Reliability, Safety and Resilience Assessment (Mostra >>)
Identification of Features of Rare Risk Events in Oil Refineries Using Natural Language Processing (NLP) (Mostra >>)
Identification of Vulnerabilities in Integrated Power-Telecommunication Infrastructures; A Simulation-based Approach (Mostra >>)
Long Short-Term Memory ANNs for Fast Assessment of Injection Policies of Water-Flooding in Oil and Gas Reservoirs (Mostra >>)
Monitoring Degradation of Insulated Gate Bipolar Transistors in Induction Cooktops by Artificial Neural Networks (Mostra >>)
Optimal Prescriptive Maintenance of Nuclear Power Plants by Deep Reinforcement Learning (Mostra >>)
Optimization Workflow Using Deep Learning Based Forward Models For Waterflooded Oil Reservoirs (Mostra >>)
Prediction of the Remaining Useful Life of MOSFETs Used in Automotive Inverters by an Ensemble of Neural Networks (Mostra >>)
The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment (Mostra >>)
Vulnerability Assessment of Interdependent Infrastructures Based on a Cascading Failure Model (Mostra >>)
Wrapper Selection of Features for Fault Diagnostics of Truss Structures (Mostra >>)
Articoli su riviste
A Bayesian Belief Network Model for the Risk Assessment and Management of Premature Screen-Out during Hydraulic Fracturing (Mostra >>)
A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors (Mostra >>)
A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction (Mostra >>)
A Fault Diagnosis Approach for Electromechanical Actuators with Simulating Model under Small Experimental Data Sample Condition (Mostra >>)
A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios (Mostra >>)
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data (Mostra >>)
A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures (Mostra >>)
A Novel Nonlinear Dynamic Model for Predicting Contact Bounce of Electromagnetic Relays With Flexible Spring Components (Mostra >>)
A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles (Mostra >>)
A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems (Mostra >>)
A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks (Mostra >>)
A dynamic event tree for a blowout accident in an oil deep-water well equipped with a managed pressure drilling condition monitoring and operation system (Mostra >>)
A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports (Mostra >>)
A framework for predicting the remaining useful life of machinery working under time-varying operational conditions (Mostra >>)
A framework of sensitivity analysis for the performance assessment of safety barriers impacted by NaTech accidents (Mostra >>)
A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities (Mostra >>)
A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems (Mostra >>)
A heuristic features selection approach for scenario analysis in a regional seismic probabilistic tsunami hazard assessment (Mostra >>)
A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena (Mostra >>)
A method for economic evaluation of predictive maintenance technologies by integrating system dynamics and evolutionary game modelling (Mostra >>)
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks (Mostra >>)
A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries (Mostra >>)
A new preventive maintenance strategy optimization model considering lifecycle safety (Mostra >>)
A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates (Mostra >>)
A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data (Mostra >>)
A reliability-centered methodology for identifying renovation actions for improving resilience against heat waves in power distribution grids (Mostra >>)
A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning (Mostra >>)
A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment (Mostra >>)
An Adaptive Generalized Cauchy Model for Remaining Useful Life Prediction of Wind Turbine Gearboxes with Long-Range Dependence (Mostra >>)
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty (Mostra >>)
An iterative model of the generalized Cauchy process for predicting the remaining useful life of lithium-ion batteries (Mostra >>)
Bearing Fault Diagnosis Based on Discriminant Analysis Using Multi-View Learning (Mostra >>)
Comparison of the HAZOP, FMEA, FRAM, and STPA Methods for the Hazard Analysis of Automatic Emergency Brake Systems (Mostra >>)
Condition-based Maintenance for Performance Degradation under Non-periodic Unreliable Inspections (Mostra >>)
Data-Driven Optimal Test Selection Design for Fault Detection and Isolation Based on CCVKL Method and PSO (Mostra >>)
Evolving Connectionist System and Hidden Semi-Markov Model for Learning-Based Tool Wear Monitoring and Remaining Useful Life Prediction (Mostra >>)
Finite Iterative Forecasting Model Based on Fractional Generalized Pareto Motion (Mostra >>)
Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation (Mostra >>)
Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors (Mostra >>)
Guest Editorial: Special Section on AI Enhanced Reliability Assessment and Predictive Health Management (Mostra >>)
Guest Editorial: special issue of ESREL2020 PSAM15 (Mostra >>)
Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches (Mostra >>)
Hybrid discrete differential evolution and deep Q-Network for multimission selective maintenance (Mostra >>)
Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network (Mostra >>)
Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas (Mostra >>)
Informational probabilistic sensitivity analysis and active learning surrogate modelling (Mostra >>)
Integrated fault estimation and fault-tolerant control for a flexible regional aircraft (Mostra >>)
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation (Mostra >>)
Machine learning-based models to prioritize scenarios in a Quantitative Risk Analysis: An application to an actual atmospheric distillation unit (Mostra >>)
Matérn process-based simulation of wind speed time series (Mostra >>)
Multi-objective availability and cost optimization by PSO and COA for series-parallel systems with subsystems failure dependencies (Mostra >>)
Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor (Mostra >>)
Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism (Mostra >>)
Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process (Mostra >>)
Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning (Mostra >>)
Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach (Mostra >>)
Parallel density scanned adaptive Kriging to improve local tsunami hazard assessment for coastal infrastructures (Mostra >>)
Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling (Mostra >>)
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice (Mostra >>)
Prognostics and health management: A review from the perspectives of design, development and decision (Mostra >>)
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems (Mostra >>)
Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling (Mostra >>)
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks (Mostra >>)
Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control (Mostra >>)
Social Robotics and Synthetic Ethics: A Methodological Proposal for Research (Mostra >>)
Subset simulation for optimal sensors positioning based on value of information (Mostra >>)
Supply resilience assessment of natural gas pipeline network systems (Mostra >>)
System design optimization with mixed subsystems failure dependencies (Mostra >>)
The Contribution of Small Modular Reactors to the Resilience of Power Supply (Mostra >>)
The Role of Nuclear Small Modular Reactors for the Resilience of Integrated Energy Systems (Mostra >>)
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation (Mostra >>)
manifesti v. 3.13.1 / 3.13.1
Area Servizi ICT
23/01/2026