P. Baraldi

发表

Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients

Enrico Zio, Piero Baraldi, Enrico Zio, 2015 .

Sensitivity analysis and fuzzy modelling for passive systems reliability assessment

E. Zio, P. Baraldi, 2004 .

Optimal power system generation scheduling by multi-objective genetic algorithms with preferences

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2009, Reliab. Eng. Syst. Saf..

Association rules extraction for the identification of functional dependencies in complex technical infrastructures

Enrico Zio, Piero Baraldi, Enrico Zio, 2020, Reliab. Eng. Syst. Saf..

A Method for Inferring Casual Dependencies among Abnormal Behaviours of Components in Complex Technical Infrastructures

E. Zio, P. Baraldi, F. Antonello, 2020 .

Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2013, IEEE Transactions on Reliability.

A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis

E. Zio, P. Baraldi, 2008, Risk analysis : an official publication of the Society for Risk Analysis.

Towards Developing a Novel Framework for Practical PHM: a Sequential Decision Problem solved by Reinforcement Learning and Artificial Neural Networks

Enrico Zio, Piero Baraldi, Michele Compare, 2020 .

A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider

E. Zio, P. Baraldi, A. Shokry, 2020, Reliab. Eng. Syst. Saf..

Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment

T. Aven, E. Zio, P. Baraldi, 2014, Risk analysis : an official publication of the Society for Risk Analysis.

Identification of nuclear transients via optimized fuzzy clustering

E. Zio, P. Baraldi, 2005 .

Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification

E. Zio, P. Baraldi, N. Pedroni, 2009 .

Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method

E. Zio, P. Baraldi, F. Maio, 2015 .

A METHOD FOR ESTIMATING THE CONFIDENCE IN THE IDENTIFICATION OF NUCLEAR TRANSIENTS BY A BAGGED ENSEMBLE OF FCM CLASSIFIERS

E. Zio, P. Baraldi, Roozbeh Razavi-Far, 2010 .

1 USING EXPERT MODELS IN HUMAN RELIABILITY ANALYSIS – A DEPENDENCE ASSESSMENT METHOD BASED ON FUZZY LOGIC

E. Zio, P. Baraldi, L. Podofillini, 2011 .

Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis

T. Aven, E. Zio, P. Baraldi, 2013, Risk analysis : an official publication of the Society for Risk Analysis.

A practical analysis of the degradation of a nuclear component with field data

Enrico Zio, Piero Baraldi, Michele Compare, 2013 .

Genetic Algorithm-based Wrapper Approach for Grouping Condition Monitoring Signal of Nuclear Power Plant Components

R. Chevalier, E. Zio, P. Baraldi, 2020 .

An imprecision importance measure for uncertainty representations interpreted as lower and upper probabilities, with special emphasis on possibility theory

Enrico Zio, Piero Baraldi, Terje Aven, 2012 .

Employing Neural Network to determine the position of interaction of medium-high energy gamma rays

F. Cadini, E. Zio, P. Baraldi, 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

A Fuzzy Logic–Based Model for the Classification of Faults in the Pump Seals of the Primary Heat Transport System of a CANDU 6 Reactor

Enrico Zio, Piero Baraldi, Irina Crenguta Popescu, 2006 .

A novel fault detection system taking into account uncertainties in the reconstructed signals

Enrico Zio, Piero Baraldi, Enrico Zio, 2014 .

A semi-supervised method for the characterization of degradation of nuclear power plants steam generators

Enrico Zio, Piero Baraldi, Enrico Zio, 2021, Progress in Nuclear Energy.

A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data

E. Zio, P. Baraldi, F. Antonello, 2022, Environment Systems and Decisions.

A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures

E. Zio, P. Baraldi, F. Antonello, 2022, Environment Systems and Decisions.

Estimation of Reliability Parameters from Experimental Data

Enrico Zio, Piero Baraldi, Francesco Cadini, 2007 .

Fuzzy Decision Trees as Intelligent Decision Support Systems for Fault Diagnosis

Enrico Zio, Piero Baraldi, Irina Crenguta Popescu, 2008 .

Fuzzy Approach to the Identification of Transients in the Steam Generator of a Nuclear Power Plant

Enrico Zio, Piero Baraldi, M. Marseguerra, 2002 .

AN ADVANCED EARLY FAULT DETECTION TOOL FOR PREDICTIVE MAINTENANCE OF A FLEET OF INDUSTRIAL GAS TURBINES

E. Zio, P. Baraldi, M. Rigamonti, 2018 .

An evidential fuzzy similarity-based method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories

E. Zio, P. Baraldi, Francesco Cannarile, 2018 .

1 UNSUPERVISED CLUSTERING FOR FAULT DIAGNOSIS IN NUCLEAR POWER PLANT COMPONENTS

E. Zio, P. Baraldi, F. Maio, 2019 .

A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures

E. Zio, P. Baraldi, F. Antonello, 2022, Environment Systems and Decisions.

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

E. Zio, P. Baraldi, Zhe Yang, 2022, Expert Syst. Appl..

A Bayesian Network Model for Dependence Assessment in Human Reliability Analysis

Luca Podofillini, Enrico Zio, Piero Baraldi, 2009 .

Predicting the Resistance of Power Cables to Flame Propagation by Neural Networks (PSAM-0069)

P. Baraldi, M. Marseguerra, E. Zio, 2006 .

A FUZZY CLUSTERING APPROACH FOR TRANSIENTS CLASSIFICATION

P. Baraldi, E. Zio, E. Zio, 2004 .

Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders

Enrico Zio, Piero Baraldi, Zhe Yang, 2018, 2018 3rd International Conference on System Reliability and Safety (ICSRS).

A comparison between extreme learning machine and artificial neural network for remaining useful life prediction

Enrico Zio, Piero Baraldi, Zhe Yang, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

A novel method for maintenance record clustering and its application to a case study of maintenance optimization

Enrico Zio, Piero Baraldi, Zhe Yang, 2020, Reliab. Eng. Syst. Saf..

A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2018, Appl. Soft Comput..

A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment

Enrico Zio, Piero Baraldi, Yang Hu, 2017 .

Remaining useful life estimation in heterogeneous fleets working under variable operating conditions

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2016, Reliab. Eng. Syst. Saf..

Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms

Enrico Zio, Piero Baraldi, Giulio Gola, 2014, Int. J. Comput. Intell. Syst..

Modeling of degradation mechanisms in electrical components taking into account their actual living conditions

Piero Baraldi, Michele Compare, Enrico Zio, 2009, 2009 8th International Conference on Reliability, Maintainability and Safety.

A particle filtering and kernel smoothing-based approach for new design component prognostics

Enrico Zio, Piero Baraldi, Yang Hu, 2015, Reliab. Eng. Syst. Saf..

Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews

E. Zio, P. Baraldi, M. Compare, 2021, Energies.

Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0

Piero Baraldi, Michele Compare, Enrico Zio, 2020, IEEE Internet of Things Journal.

Online Performance Assessment Method for a Model-Based Prognostic Approach

Enrico Zio, Piero Baraldi, Yang Hu, 2016, IEEE Transactions on Reliability.

Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions

Enrico Zio, Piero Baraldi, Ainhoa Galarza, 2016, IEEE Transactions on Power Electronics.

Interacting multiple-models, state augmented Particle Filtering for fault diagnostics

Enrico Zio, Piero Baraldi, Michele Compare, 2015 .

Model-based and data-driven prognostics under different available information

Enrico Zio, Piero Baraldi, Francesco Cadini, 2013 .

Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data

Enrico Zio, Piero Baraldi, Francesca Mangili, 2013, Reliab. Eng. Syst. Saf..

Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2020, Eng. Appl. Artif. Intell..

Dynamic Surrogate Modeling for Multistep-ahead Prediction of Multivariate Nonlinear Chemical Processes

Enrico Zio, Piero Baraldi, Antonio Espuña, 2020, Industrial & Engineering Chemistry Research.

A method for ranking components importance in presence of epistemic uncertainties

Enrico Zio, Piero Baraldi, Michele Compare, 2009 .

A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty

Enrico Zio, Piero Baraldi, Eric Moulines, 2021, Chemical Engineering Journal.

Reconstruction of missing data in multidimensional time series by fuzzy similarity

Enrico Zio, Piero Baraldi, Francesco Di Maio, 2015, Appl. Soft Comput..

Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions

Enrico Zio, Piero Baraldi, Francesco Di Maio, 2016, Eng. Appl. Artif. Intell..

A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression

Enrico Zio, Piero Baraldi, Enrico Zio, 2015 .

Maintenance optimization in industry 4.0

P. Baraldi, E. Zio, L. Pinciroli, 2023, Reliab. Eng. Syst. Saf..

Partially observable Markov decision processes for optimal operations of gas transmission networks

Enrico Zio, Piero Baraldi, Michele Compare, 2020, Reliab. Eng. Syst. Saf..

Ensemble of optimized echo state networks for remaining useful life prediction

Enrico Zio, Piero Baraldi, Kai Goebel, 2017, Neurocomputing.

A dynamic weighting ensemble approach for wind energy production prediction

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2017, 2017 2nd International Conference on System Reliability and Safety (ICSRS).

Selecting features for nuclear transients classification by means of genetic algorithms

P. Baraldi, E. Zio, N. Pedroni, 2006, IEEE Transactions on Nuclear Science.

Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification

Enrico Zio, Piero Baraldi, Nicola Pedroni, 2009, Int. J. Intell. Syst..

Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery

Enrico Zio, Piero Baraldi, Giulio Gola, 2008, Appl. Soft Comput..

Solutions for plant-wide on-line calibration monitoring

Enrico Zio, Piero Baraldi, Giulio Gola, 2007 .

A randomized model ensemble approach for reconstructing signals from faulty sensors

Enrico Zio, Piero Baraldi, Giulio Gola, 2011, Expert Syst. Appl..

Signal reconstruction by a GA-optimized ensemble of PCA models

Enrico Zio, Piero Baraldi, Giulio Gola, 2011 .

A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks

E. Zio, P. Baraldi, Zhe Yang, 2022, Reliab. Eng. Syst. Saf..

Ensemble neural network-based particle filtering for prognostics

Enrico Zio, Piero Baraldi, Michele Compare, 2013 .

Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics

Piero Baraldi, Enrico Zio, G. Bonfanti, 2018 .

Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants

Enrico Zio, Piero Baraldi, Hoang-Phuong Nguyen, 2021 .

A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports

P. Baraldi, E. Zio, Dario Valcamonico, 2022, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection

Piero Baraldi, Enrico Zio, Michele Compare, 2020, Reliab. Eng. Syst. Saf..

Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application

Luca Podofillini, Enrico Zio, Piero Baraldi, 2015, Reliab. Eng. Syst. Saf..

A Markov decision process framework for optimal operation of monitored multi-state systems

Enrico Zio, Piero Baraldi, M. Compare, 2018 .

A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data

E. Zio, P. Baraldi, F. Antonello, 2022, IEEE Systems Journal.

Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines

E. Zio, P. Baraldi, A. Shokry, 2021, Energies.

A data-driven framework for identifying important components in complex systems

Enrico Zio, Piero Baraldi, Xuefei Lu, 2020, Reliab. Eng. Syst. Saf..

Uncertainty treatment in expert information systems for maintenance policy assessment

Enrico Zio, Piero Baraldi, Michele Compare, 2014, Appl. Soft Comput..

Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods

Enrico Zio, Piero Baraldi, Terje Aven, 2013 .

Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence

Enrico Zio, Piero Baraldi, Michele Compare, 2013, Inf. Sci..

Transients Analysis of a Nuclear Power Plant Component for Fault Diagnosis

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2013 .

A fuzzy modeling approach to the identification of transients in nuclear components

Enrico Zio, Piero Baraldi, Marzio Marseguerra, 2004 .

Fuzzy logic for signal prediction in nuclear systems

Enrico Zio, Piero Baraldi, M. Marseguerra, 2003 .

Dynamic Weighting Ensembles for Incremental Learning and Diagnosing New Concept Class Faults in Nuclear Power Systems

P. Baraldi, E. Zio, R. Razavi-Far, 2012, IEEE Transactions on Nuclear Science.

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

E. Zio, N. Yousfi-Steiner, C. Cadet, 2019, Mechanical Systems and Signal Processing.

Event Tree Analysis

Enrico Zio, Piero Baraldi, Francesco Cadini, 2007 .

Optimization of the Operation and Maintenance of Renewable Energy Systems by Deep Reinforcement Learning

E. Zio, P. Baraldi, M. Compare, 2021, SSRN Electronic Journal.

Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2011, Integr. Comput. Aided Eng..

A fuzzy decision tree method for fault classification in the steam generator of a pressurized water reactor

Enrico Zio, Piero Baraldi, E. Zio, 2009 .

A fuzzy expert system for the human reliability analysis of crews in simulated nuclear emergency procedures

Enrico Zio, Piero Baraldi, M. Librizzi, 2010 .

Reliability and Risk Analysis

Enrico Zio, Piero Baraldi, Francesco Cadini, 2011, Series on Quality, Reliability and Engineering Statistics.

A FUZZY LOGIC MODEL FOR THE ASSESSMENT OF CREW PERFORMANCE IN SIMULATED SCENARIOS

Enrico Zio, Piero Baraldi, M. Librizzi, 2008 .

Assessment of the availability of an offshore installation by Monte Carlo simulation

Enrico Zio, Piero Baraldi, Edoardo Patelli, 2006 .

A belief function theory based approach to combining different representation of uncertainty in prognostics

Enrico Zio, Piero Baraldi, Francesca Mangili, 2015, Inf. Sci..

A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments

Enrico Zio, Piero Baraldi, Zhe Yang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A Fuzzy Decision Tree for Fault Classification

Enrico Zio, Piero Baraldi, Irina Crenguta Popescu, 2008, Risk analysis : an official publication of the Society for Risk Analysis.

From Fuzzy Clustering to a Fuzzy Rule-Based Fault Classification Model

Enrico Zio, Piero Baraldi, Irina Crenguta Popescu, 2008, Int. J. Comput. Intell. Syst..

Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions

Enrico Zio, Piero Baraldi, Masoud Naseri, 2016, Reliab. Eng. Syst. Saf..

A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms

Enrico Zio, Piero Baraldi, Francesco Cannarile, 2020, International Journal of Prognostics and Health Management.

A Never-Ending Learning Method for Fault Diagnostics in Energy Systems Operating in Evolving Environments

Piero Baraldi, Michele Compare, Enrico Zio, 2019, Energies.

A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age

P. Baraldi, M. Compare, E. Zio, 2013, Qual. Reliab. Eng. Int..

A Modelling Framework to Assess Maintenance Policy Performance in Electrical Production Plants

E. Zio, P. Baraldi, A. Despujols, 2012 .

Assessment of the availability of an o shore installation by Monte Carlo simulation

Enrico Zio, Piero Baraldi, Edoardo Patelli, 2005 .

Sensitivity Analysis of Scale Deposition on Equipment of Oil Wells Plants

Enrico Zio, Piero Baraldi, Enrique López Droguett, 2012 .

Ensemble of Neural Networks for Detection and Classification of Faults in Nuclear Power Systems

Enrico Zio, Piero Baraldi, Roozbeh Razavi-Far, 2012 .

A review of Decision Tree models for assessing Human Reliability Analysis dependence

Luca Podofillini, Enrico Zio, Piero Baraldi, 2009 .

Feature Selection for Nuclear Transient Diagnostics

Enrico Zio, Piero Baraldi, Davide Roverso, 2007 .

Propagating aleatory and epistemic uncertainty in the reliability assessment of a degrading component by Monte Carlo simulation and Possibility analysis

Enrico Zio, Irina Crenguta Popescu, P. Baraldi, 2008 .

Guest Editorial: Special Issue of ESREL2020 PSAM15

P. Baraldi, E. Zio, R. Razavi-Far, 2021, European Journal for Security Research.

A method for fault diagnosis in evolving environment using unlabeled data

Enrico Zio, Piero Baraldi, Yang Hu, 2020, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components

Enrico Zio, Piero Baraldi, Francesco Di Maio, 2013, Int. J. Comput. Intell. Syst..

Bootstrapped Ensemble of Artificial Neural Networks Technique for Quantifying Uncertainty in Prediction of Wind Energy Production

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2021, Sustainability.

Ensemble of bootstrapped models for the prediction of the remaining useful life of a creeping turbine blade

Piero Baraldi, E. Zio, F. Mangili, 2012, 2012 IEEE Conference on Prognostics and Health Management.

A multi-branch deep neural network model for failure prognostics based on multimodal data

Enrico Zio, Piero Baraldi, Zhe Yang, 2021 .

Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems

Enrico Zio, Piero Baraldi, M. Compare, 2019, Aerospace Science and Technology.

A Natural Language Processing Method For The Identification Of Critical Factors Influencing Road Safety

F. Amigoni, E. Zio, P. Baraldi, 2021 .

A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2017 .

A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics

Enrico Zio, Piero Baraldi, Francesca Mangili, 2012, IEEE Transactions on Reliability.

Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors

Enrico Zio, Piero Baraldi, Ainhoa Galarza, 2016, IEEE Transactions on Power Electronics.

A fuzzy set-based approach for modeling dependence among human errors

Luca Podofillini, Enrico Zio, Piero Baraldi, 2009, Fuzzy Sets Syst..

An hybrid ensemble based approach for process parameter estimation in offshore oil platforms

Enrico Zio, Piero Baraldi, Giulio Gola, 2011 .

Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors

E. Zio, P. Baraldi, Mingjing Xu, 2022, IEEE Transactions on Intelligent Transportation Systems.

An Interface for Enhancing Repeatability in Human Reliability Analysis

P. Baraldi, M. Konstandinidou, A. Sogaro, 2013 .

A Comparison Between Probabilistic and Dempster‐Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories

Enrico Zio, Piero Baraldi, E. Zio, 2010, Risk analysis : an official publication of the Society for Risk Analysis.

Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning

P. Baraldi, M. Compare, L. Pinciroli, 2023, Applied Energy.

Predicting the Time To Failure of a randomly degrading component by a hybrid Monte Carlo and possibilistic method

P. Baraldi, E. Zio, I.C. Popescu, 2008, 2008 International Conference on Prognostics and Health Management.

A Hybrid Ensemble-Based Approach for Process Parameter Estimation and Degradation Assessment in Offshore Oil Platforms

Enrico Zio, Piero Baraldi, Giulio Gola, 2014 .

Ensemble neural network-based particle filtering for prognostics

E. Zio, P. Baraldi, M. Compare, 2013 .

Handling epistemic uncertainties in fault tree analysis by probabilistic and possibilistic approaches

Enrico Zio, Piero Baraldi, Terje Aven, 2009 .

Unsupervised clustering for fault diagnosis

P. Baraldi, E. Zio, F. Di Maio, 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

Bagged Ensemble of Fuzzy C Means Classifiers for Nuclear Transient Identification

Enrico Zio, Piero Baraldi, Enrico Zio, 2011 .

Safety and Security of Drones in the Oil and Gas Industry

E. Zio, P. Baraldi, F. Maio, 2020, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

Uncertainty in Risk Assessment

Enrico Zio, Piero Baraldi, Terje Aven, 2014 .

A semi-supervised feature selection approach for fault diagnostics in evolving environments

Enrico Zio, Piero Baraldi, Yang Hu, 2016 .

Echo State Network for the Remaining Useful Life Prediction of a Turbofan Engine

Enrico Zio, Patrizia Baraldi, Marco Rigamonti, 2016, PHM Society European Conference.

Data-Driven Extraction of Association Rules of Dependent Abnormal Behaviour Groups

Piero Baraldi, Enrico Zio, Luigi Serio, 2019, Proceedings of the 29th European Safety and Reliability Conference (ESREL).

Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network

Mohammad N. Juybari, P. Baraldi, S. Llorente, 2022, 2022 6th International Conference on System Reliability and Safety (ICSRS).

Hybrid Probabilistic–Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads

Piero Baraldi, Enrico Zio, Francesco Di Maio, 2018 .

An hybrid Monte Carlo and Fuzzy Logic method for maintenance modelling

Enrico Zio, Piero Baraldi, Michele Compare, 2010 .

Physics-Informed deep Autoencoder for fault detection in New-Design systems

P. Baraldi, Enrico Zio, Chenyang Lai, 2024, Mechanical systems and signal processing.

Comparison of Data-Driven Reconstruction Methods For Fault Detection

Enrico Zio, Piero Baraldi, Francesco Di Maio, 2015, IEEE Transactions on Reliability.

An ensemble approach to sensor fault detection and signal reconstruction for nuclear system control

Enrico Zio, Piero Baraldi, Francesca Mangili, 2010 .

Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems

Luca Podofillini, Enrico Zio, Piero Baraldi, 2009, Expert Syst. Appl..

Resistance-based probabilistic design by order statistics for an oil and gas deep-water well casing string affected by wear during kick load

Enrico Zio, Piero Baraldi, Francesco Di Maio, 2016 .

Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework

Ahmad M. Abubaker, P. Baraldi, Mohammad Alrbai, 2024, Energies.