Piero Baraldi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Regression Model

Fault Detection

Top Venues

Reliab. Eng. Syst. Saf.

Expert Syst. Appl.

IEEE Trans. Reliab.

Publications

Giovanni Floreale, Piero Baraldi, Xuefei Lu, Paolo Rossetti, Enrico Zio
Sensitivity analysis by differential importance measure for unsupervised fault diagnostics. Reliab. Eng. Syst. Saf. 243 (2024)
Dario Valcamonico, Piero Baraldi, Enrico Zio, Luca Decarli, Anna Crivellari, Laura Larosa
Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets. Reliab. Eng. Syst. Saf. 241 (2024)
Mingjing Xu, Piero Baraldi, Zhe Yang, Enrico Zio
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. Expert Syst. Appl. 213 (Part) (2023)
Bingsen Wang, Piero Baraldi, Enrico Zio
Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment. IEEE Trans. Ind. Informatics 19 (8) (2023)
Marzia Sepe, Enrico Zio, Piero Baraldi
Optimization Method for an Improved Training of Physics Informed Neural Networks. ICSRS (2023)
Luca Pinciroli, Piero Baraldi, Enrico Zio
Maintenance optimization in industry 4.0. Reliab. Eng. Syst. Saf. 234 (2023)
Mingjing Xu, Piero Baraldi, Xuefei Lu, Enrico Zio
Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Zhe Yang, Piero Baraldi, Enrico Zio
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks. Reliab. Eng. Syst. Saf. 220 (2022)
Mohammad N. Juybari, Ibrahim Ahmed, Piero Baraldi, Alejandro Del Cueto, Javier Gil, Chenyang Lai, Sergio Llorente, Enrico Zio
Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network. ICSRS (2022)
Federico Antonello, Piero Baraldi, Enrico Zio, Luigi Serio
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data. IEEE Syst. J. 16 (4) (2022)
Ali Eftekhari Milani, Piero Baraldi, Antonio Palermo, Alessandro Marzani, Enrico Zio
Damage Detection in Truss Structures Supporting Pipelines and Auxiliary Equipment in Power Plants. ICSRS (2021)
Dario Valcamonico, Piero Baraldi, Enrico Zio
Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events. ICSRS (2021)
Federico Antonello, Piero Baraldi, Ahmed Shokry, Enrico Zio, Ugo Gentile, Luigi Serio
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data. Expert Syst. Appl. 170 (2021)
Federico Antonello, Piero Baraldi, Ahmed Shokry, Enrico Zio, Ugo Gentile, Luigi Serio
Association rules extraction for the identification of functional dependencies in complex technical infrastructures. Reliab. Eng. Syst. Saf. 209 (2021)
Michele Compare, Piero Baraldi, Paolo Marelli, Enrico Zio
Partially observable Markov decision processes for optimal operations of gas transmission networks. Reliab. Eng. Syst. Saf. 199 (2020)
Michele Compare, Piero Baraldi, Enrico Zio
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0. IEEE Internet Things J. 7 (5) (2020)
Zhe Yang, Piero Baraldi, Enrico Zio
A novel method for maintenance record clustering and its application to a case study of maintenance optimization. Reliab. Eng. Syst. Saf. 203 (2020)
Xuefei Lu, Piero Baraldi, Enrico Zio
A data-driven framework for identifying important components in complex systems. Reliab. Eng. Syst. Saf. 204 (2020)
Zhe Yang, Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Lorenzo Montelatici
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Mingjing Xu, Piero Baraldi, Sameer Al-Dahidi, Enrico Zio
Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements. Eng. Appl. Artif. Intell. 87 (2020)
Piero Baraldi, Andrea Castellano, Ahmed Shokry, Ugo Gentile, Luigi Serio, Enrico Zio
A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider. Reliab. Eng. Syst. Saf. 201 (2020)
Michele Compare, Piero Baraldi, I. Bani, Enrico Zio, D. Mc Donnell
Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection. Reliab. Eng. Syst. Saf. 200 (2020)
Francesco Cannarile, Piero Baraldi, Enrico Zio
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories. Fuzzy Sets Syst. 367 (2019)
Marco Rigamonti, Piero Baraldi, Allegra Alessi, Enrico Zio, Daniel Astigarraga, Ainhoa Galarza
An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors. IEEE Trans. Reliab. 67 (3) (2018)
Marco Rigamonti, Piero Baraldi, Enrico Zio, Indranil Roychoudhury, Kai Goebel, Scott Poll
Ensemble of optimized echo state networks for remaining useful life prediction. Neurocomputing 281 (2018)
Sameer Al-Dahidi, Francesco Di Maio, Piero Baraldi, Enrico Zio, Redouane Seraoui
A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis. Appl. Soft Comput. 69 (2018)
Zhe Yang, Piero Baraldi, Enrico Zio
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders. ICSRS (2018)
Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Edoardo Legnani
A dynamic weighting ensemble approach for wind energy production prediction. ICSRS (2017)
Michele Compare, Piero Baraldi, I. Bani, Enrico Zio, D. Mc Donnell
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components. Reliab. Eng. Syst. Saf. 166 (2017)
Wei Wang, Francesco Di Maio, Piero Baraldi, Enrico Zio
A hybrid Monte Carlo and possibilistic approach to estimate non-suppression probability in fire probabilistic safety analysis. ICSRS (2017)
Piero Baraldi, Francesco Di Maio, Sameer Al-Dahidi, Enrico Zio, Francesca Mangili
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. Expert Syst. Appl. 83 (2017)
Marco Rigamonti, Piero Baraldi, Enrico Zio, Allegra Alessi, Daniel Astigarraga, Ainhoa Galarza
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach. Microelectron. Reliab. 60 (2016)
Masoud Naseri, Piero Baraldi, Michele Compare, Enrico Zio
Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions. Reliab. Eng. Syst. Saf. 152 (2016)
Yang Hu, Piero Baraldi, Francesco Di Maio, Enrico Zio
Online Performance Assessment Method for a Model-Based Prognostic Approach. IEEE Trans. Reliab. 65 (2) (2016)
Sameer Al-Dahidi, Francesco Di Maio, Piero Baraldi, Enrico Zio
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions. Reliab. Eng. Syst. Saf. 156 (2016)
Piero Baraldi, Francesco Cannarile, Francesco Di Maio, Enrico Zio
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions. Eng. Appl. Artif. Intell. 56 (2016)
Piero Baraldi, Luca Podofillini, Lusine Mkrtchyan, Enrico Zio, Vinh N. Dang
Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application. Reliab. Eng. Syst. Saf. 138 (2015)
Yang Hu, Piero Baraldi, Francesco Di Maio, Enrico Zio
A particle filtering and kernel smoothing-based approach for new design component prognostics. Reliab. Eng. Syst. Saf. 134 (2015)
Piero Baraldi, Francesca Mangili, Enrico Zio
A belief function theory based approach to combining different representation of uncertainty in prognostics. Inf. Sci. 303 (2015)
Piero Baraldi, Francesco Di Maio, Davide Genini, Enrico Zio
Comparison of Data-Driven Reconstruction Methods For Fault Detection. IEEE Trans. Reliab. 64 (3) (2015)
Piero Baraldi, Francesco Di Maio, Davide Genini, Enrico Zio
Reconstruction of missing data in multidimensional time series by fuzzy similarity. Appl. Soft Comput. 26 (2015)
Piero Baraldi, Francesco Di Maio, Marco Rigamonti, Enrico Zio, Redouane Seraoui
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine. J. Intell. Fuzzy Syst. 28 (4) (2015)
Piero Baraldi, Michele Compare, Enrico Zio
Uncertainty treatment in expert information systems for maintenance policy assessment. Appl. Soft Comput. 22 (2014)
Piero Baraldi, Enrico Zio, Francesca Mangili, Giulio Gola, Bent H. Nystad
Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms. Int. J. Comput. Intell. Syst. 7 (2) (2014)
Francesco Di Maio, Piero Baraldi, Enrico Zio, Redouane Seraoui
Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods. IEEE Trans. Reliab. 62 (4) (2013)
Piero Baraldi, Michele Compare, Enrico Zio
Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities. IEEE Trans. Reliab. 62 (1) (2013)
Piero Baraldi, Francesco Di Maio, Enrico Zio
Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components. Int. J. Comput. Intell. Syst. 6 (4) (2013)
G. Ripamonti, G. Lonati, Piero Baraldi, Francesco Cadini, Enrico Zio
Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin/furans emitted from a waste gasification plant. Reliab. Eng. Syst. Saf. 120 (2013)
Piero Baraldi, Francesca Mangili, Enrico Zio
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. Reliab. Eng. Syst. Saf. 112 (2013)
Piero Baraldi, A. Balestrero, Michele Compare, L. Benetrix, A. Despujols, Enrico Zio
A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age. Qual. Reliab. Eng. Int. 29 (3) (2013)
Piero Baraldi, Michele Compare, Enrico Zio
Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence. Inf. Sci. 245 (2013)
Piero Baraldi, Francesca Mangili, Enrico Zio
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. IEEE Trans. Reliab. 61 (4) (2012)
Piero Baraldi, Roozbeh Razavi-Far, Enrico Zio
Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions. Reliab. Eng. Syst. Saf. 96 (4) (2011)
Piero Baraldi, Giulio Gola, Enrico Zio, Davide Roverso, M. Hoffmann
A randomized model ensemble approach for reconstructing signals from faulty sensors. Expert Syst. Appl. 38 (8) (2011)
Piero Baraldi, Roberto Canesi, Enrico Zio, Redouane Seraoui, Roger Chevalier
Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components. Integr. Comput. Aided Eng. 18 (3) (2011)
Piero Baraldi, M. Librizzi, Enrico Zio, Luca Podofillini, Vinh N. Dang
Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems. Expert Syst. Appl. 36 (10) (2009)
Piero Baraldi, Nicola Pedroni, Enrico Zio
Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification. Int. J. Intell. Syst. 24 (2) (2009)
Enrico Zio, Piero Baraldi, M. Librizzi, Luca Podofillini, Vinh N. Dang
A fuzzy set-based approach for modeling dependence among human errors. Fuzzy Sets Syst. 160 (13) (2009)
Enrico Zio, Piero Baraldi, Nicola Pedroni
Optimal power system generation scheduling by multi-objective genetic algorithms with preferences. Reliab. Eng. Syst. Saf. 94 (2) (2009)
Enrico Zio, Piero Baraldi, Irina Crenguta Popescu
From Fuzzy Clustering to a Fuzzy Rule-Based Fault Classification Model. Int. J. Comput. Intell. Syst. 1 (1) (2008)
Enrico Zio, Piero Baraldi, Giulio Gola
Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery. Appl. Soft Comput. 8 (4) (2008)