Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery. - Enrico Zio; Piero Baraldi; Giulio Gola (Appl. Soft Comput., 2008)

From Fuzzy Clustering to a Fuzzy Rule-Based Fault Classification Model. - Enrico Zio; Piero Baraldi; Irina Crenguta Popescu (Int. J. Comput. Intell. Syst., 2008)

Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems. - Piero Baraldi; M. Librizzi; Enrico Zio; Luca Podofillini; Vinh N. Dang (Expert Syst. Appl., 2009)

A fuzzy set-based approach for modeling dependence among human errors. - Enrico Zio; Piero Baraldi; M. Librizzi; Luca Podofillini; Vinh N. Dang (Fuzzy Sets Syst., 2009)

Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification. - Piero Baraldi; Nicola Pedroni; Enrico Zio (Int. J. Intell. Syst., 2009)

Optimal power system generation scheduling by multi-objective genetic algorithms with preferences. - Enrico Zio; Piero Baraldi; Nicola Pedroni (Reliab. Eng. Syst. Saf., 2009)

A randomized model ensemble approach for reconstructing signals from faulty sensors. - Piero Baraldi; Giulio Gola; Enrico Zio; Davide Roverso; M. Hoffmann (Expert Syst. Appl., 2011)

Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components. - Piero Baraldi; Roberto Canesi; Enrico Zio; Redouane Seraoui; Roger Chevalier (Integr. Comput. Aided Eng., 2011)

Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions. - Piero Baraldi; Roozbeh Razavi-Far; Enrico Zio (Reliab. Eng. Syst. Saf., 2011)

Reliability and Risk Analysis - Enrico Zio; Piero Baraldi; Francesco Cadini (WorldScientific, 2011)

A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. - Piero Baraldi; Francesca Mangili; Enrico Zio (IEEE Trans. Reliab., 2012)

Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components. - Piero Baraldi; Francesco Di Maio; Enrico Zio (Int. J. Comput. Intell. Syst., 2013)

Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence. - Piero Baraldi; Michele Compare; Enrico Zio (Inf. Sci., 2013)

A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age. - Piero Baraldi; A. Balestrero; Michele Compare; L. Benetrix; A. Despujols; Enrico Zio (Qual. Reliab. Eng. Int., 2013)

Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. - Piero Baraldi; Francesca Mangili; Enrico Zio (Reliab. Eng. Syst. Saf., 2013)

Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin/furans emitted from a waste gasification plant. - G. Ripamonti; G. Lonati; Piero Baraldi; Francesco Cadini; Enrico Zio (Reliab. Eng. Syst. Saf., 2013)

Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities. - Piero Baraldi; Michele Compare; Enrico Zio (IEEE Trans. Reliab., 2013)

Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods. - Francesco Di Maio; Piero Baraldi; Enrico Zio; Redouane Seraoui (IEEE Trans. Reliab., 2013)

Uncertainty treatment in expert information systems for maintenance policy assessment. - Piero Baraldi; Michele Compare; Enrico Zio (Appl. Soft Comput., 2014)

Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms. - Piero Baraldi; Enrico Zio; Francesca Mangili; Giulio Gola; Bent H. Nystad (Int. J. Comput. Intell. Syst., 2014)

Reconstruction of missing data in multidimensional time series by fuzzy similarity. - Piero Baraldi; Francesco Di Maio; Davide Genini; Enrico Zio (Appl. Soft Comput., 2015)

A belief function theory based approach to combining different representation of uncertainty in prognostics. - Piero Baraldi; Francesca Mangili; Enrico Zio (Inf. Sci., 2015)

Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine. - Piero Baraldi; Francesco Di Maio; Marco Rigamonti; Enrico Zio; Redouane Seraoui (J. Intell. Fuzzy Syst., 2015)

Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application. - Piero Baraldi; Luca Podofillini; Lusine Mkrtchyan; Enrico Zio; Vinh N. Dang (Reliab. Eng. Syst. Saf., 2015)

A particle filtering and kernel smoothing-based approach for new design component prognostics. - Yang Hu 003; Piero Baraldi; Francesco Di Maio; Enrico Zio (Reliab. Eng. Syst. Saf., 2015)

Comparison of Data-Driven Reconstruction Methods For Fault Detection. - Piero Baraldi; Francesco Di Maio; Davide Genini; Enrico Zio (IEEE Trans. Reliab., 2015)

Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions. - Piero Baraldi; Francesco Cannarile; Francesco Di Maio; Enrico Zio (Eng. Appl. Artif. Intell., 2016)

Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach. - Marco Rigamonti; Piero Baraldi; Enrico Zio; Allegra Alessi; Daniel Astigarraga; Ainhoa Galarza (Microelectron. Reliab., 2016)

Remaining useful life estimation in heterogeneous fleets working under variable operating conditions. - Sameer Al-Dahidi; Francesco Di Maio; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2016)

Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions. - Masoud Naseri; Piero Baraldi; Michele Compare; Enrico Zio (Reliab. Eng. Syst. Saf., 2016)

Online Performance Assessment Method for a Model-Based Prognostic Approach. - Yang Hu 003; Piero Baraldi; Francesco Di Maio; Enrico Zio (IEEE Trans. Reliab., 2016)

A hybrid Monte Carlo and possibilistic approach to estimate non-suppression probability in fire probabilistic safety analysis. - Wei Wang 279; Francesco Di Maio; Piero Baraldi; Enrico Zio (ICSRS, 2017)

A dynamic weighting ensemble approach for wind energy production prediction. - Sameer Al-Dahidi; Piero Baraldi; Enrico Zio; Edoardo Legnani (ICSRS, 2017)

Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. - Piero Baraldi; Francesco Di Maio; Sameer Al-Dahidi; Enrico Zio; Francesca Mangili (Expert Syst. Appl., 2017)

Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components. - Michele Compare; Piero Baraldi; I. Bani; Enrico Zio; D. Mc Donnell (Reliab. Eng. Syst. Saf., 2017)

Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders. - Zhe Yang 014; Piero Baraldi; Enrico Zio (ICSRS, 2018)

A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis. - Sameer Al-Dahidi; Francesco Di Maio; Piero Baraldi; Enrico Zio; Redouane Seraoui (Appl. Soft Comput., 2018)

Ensemble of optimized echo state networks for remaining useful life prediction. - Marco Rigamonti; Piero Baraldi; Enrico Zio; Indranil Roychoudhury; Kai Goebel; Scott Poll (Neurocomputing, 2018)

An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors. - Marco Rigamonti; Piero Baraldi; Allegra Alessi; Enrico Zio; Daniel Astigarraga; Ainhoa Galarza (IEEE Trans. Reliab., 2018)

An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories. - Francesco Cannarile; Piero Baraldi; Enrico Zio (Fuzzy Sets Syst., 2019)

Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements. - Mingjing Xu; Piero Baraldi; Sameer Al-Dahidi; Enrico Zio (Eng. Appl. Artif. Intell., 2020)

Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0. - Michele Compare; Piero Baraldi; Enrico Zio (IEEE Internet Things J., 2020)

A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider. - Piero Baraldi; Andrea Castellano; Ahmed Shokry; Ugo Gentile; Luigi Serio; Enrico Zio (Reliab. Eng. Syst. Saf., 2020)

Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection. - Michele Compare; Piero Baraldi; I. Bani; Enrico Zio; D. Mc Donnell (Reliab. Eng. Syst. Saf., 2020)

Partially observable Markov decision processes for optimal operations of gas transmission networks. - Michele Compare; Piero Baraldi; Paolo Marelli; Enrico Zio (Reliab. Eng. Syst. Saf., 2020)

A data-driven framework for identifying important components in complex systems. - Xuefei Lu; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2020)

A novel method for maintenance record clustering and its application to a case study of maintenance optimization. - Zhe Yang 014; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2020)

A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments. - Zhe Yang 014; Sameer Al-Dahidi; Piero Baraldi; Enrico Zio; Lorenzo Montelatici (IEEE Trans. Neural Networks Learn. Syst., 2020)

Damage Detection in Truss Structures Supporting Pipelines and Auxiliary Equipment in Power Plants. - Ali Eftekhari Milani; Piero Baraldi; Antonio Palermo; Alessandro Marzani; Enrico Zio (ICSRS, 2021)

Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events. - Dario Valcamonico; Piero Baraldi; Enrico Zio (ICSRS, 2021)

A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data. - Federico Antonello; Piero Baraldi; Ahmed Shokry; Enrico Zio; Ugo Gentile; Luigi Serio (Expert Syst. Appl., 2021)

Association rules extraction for the identification of functional dependencies in complex technical infrastructures. - Federico Antonello; Piero Baraldi; Ahmed Shokry; Enrico Zio; Ugo Gentile; Luigi Serio (Reliab. Eng. Syst. Saf., 2021)

Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network. - Mohammad N. Juybari; Ibrahim Ahmed 009; Piero Baraldi; Alejandro Del Cueto; Javier Gil; Chenyang Lai; Sergio Llorente; Enrico Zio (ICSRS, 2022)

A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks. - Zhe Yang 014; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2022)

A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data. - Federico Antonello; Piero Baraldi; Enrico Zio; Luigi Serio (IEEE Syst. J., 2022)

Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors. - Mingjing Xu; Piero Baraldi; Xuefei Lu; Enrico Zio (IEEE Trans. Intell. Transp. Syst., 2022)

Optimization Method for an Improved Training of Physics Informed Neural Networks. - Marzia Sepe; Enrico Zio; Piero Baraldi (ICSRS, 2023)

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. - Mingjing Xu; Piero Baraldi; Zhe Yang 014; Enrico Zio (Expert Syst. Appl., 2023)

Maintenance optimization in industry 4.0. - Luca Pinciroli; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2023)

Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment. - Bingsen Wang; Piero Baraldi; Enrico Zio (IEEE Trans. Ind. Informatics, 2023)

Deep Reinforcement Learning for Strategic Asset Management in Oil & Gas Recovery Projects. - Nicolás Cárdenas-Pantoja; Adam F. Abdin; Piero Baraldi; Luca Pinciroli; Enrico Zio (ICSRS, 2024)

Federated Generative Models for Predictive Maintenance in Industrial Environments. - Usevalad Milasheuski; Piero Baraldi; Enrico Zio; Stefano Savazzi (ICSRS, 2024)

Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets. - Dario Valcamonico; Piero Baraldi; Enrico Zio; Luca Decarli; Anna Crivellari; Laura Larosa (Reliab. Eng. Syst. Saf., 2024)

Sensitivity analysis by differential importance measure for unsupervised fault diagnostics. - Giovanni Floreale; Piero Baraldi; Xuefei Lu; Paolo Rossetti; Enrico Zio (Reliab. Eng. Syst. Saf., 2024)

A data-driven modelling framework for predicting the quality of semiconductor devices to support burn-in decisions. - Ibrahim Ahmed 009; Piero Baraldi; Enrico Zio; Horst Lewitschnig (Comput. Ind. Eng., 2025)

Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures. - Giovanni Floreale; Piero Baraldi; Enrico Zio; Olga Fink (Eng. Appl. Artif. Intell., 2025)

A systematic procedure for the analysis of maintenance reports based on a taxonomy and BERT attention mechanism. - Dario Valcamonico; Piero Baraldi; July Bias Macedo; Márcio das Chagas Moura; Jonathan Brown; Stéphane Gauthier; Enrico Zio (Reliab. Eng. Syst. Saf., 2025)

Gradient-enhanced physics-informed long short-term memory networks for stable and accurate prediction of the RUL of electronic components. - Chenyang Lai; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2026)