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ORCIDPiero Baraldi
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2020 – today
- 2024
[j54]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: 109638 (2024)- [j53]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: 109846 (2024) - 2023
- [j52]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): 118962 (2023) - [j51]Luca Pinciroli, Piero Baraldi, Enrico Zio:
Maintenance optimization in industry 4.0. Reliab. Eng. Syst. Saf. 234: 109204 (2023) - [j50]Bingsen Wang, Piero Baraldi, Enrico Zio:
Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment. IEEE Trans. Ind. Informatics 19(8): 8841-8851 (2023) - [c7]Marzia Sepe, Enrico Zio, Piero Baraldi:
Optimization Method for an Improved Training of Physics Informed Neural Networks. ICSRS 2023: 103-109 - 2022
- [j49]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: 108278 (2022) - [j48]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): 5777-5786 (2022) - [j47]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): 23408-23421 (2022) - [c6]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: 259-263 - 2021
- [j46]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: 114560 (2021) - [j45]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: 107305 (2021) - [c5]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: 115-119 - [c4]Dario Valcamonico, Piero Baraldi, Enrico Zio:
Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events. ICSRS 2021: 216-221 - 2020
- [j44]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) - [j43]Michele Compare, Piero Baraldi, Enrico Zio:
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0. IEEE Internet Things J. 7(5): 4585-4597 (2020) - [j42]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: 106893 (2020) - [j41]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: 106891 (2020) - [j40]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: 106974 (2020) - [j39]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: 107103 (2020) - [j38]Xuefei Lu, Piero Baraldi, Enrico Zio:
A data-driven framework for identifying important components in complex systems. Reliab. Eng. Syst. Saf. 204: 107197 (2020) - [j37]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): 309-320 (2020)
2010 – 2019
- 2019
- [j36]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: 36-50 (2019) - 2018
- [j35]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: 213-231 (2018) - [j34]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: 121-138 (2018) - [j33]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): 1304-1313 (2018) - [c3]Zhe Yang, Piero Baraldi, Enrico Zio:
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders. ICSRS 2018: 328-332 - 2017
- [j32]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: 226-241 (2017) - [j31]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: 25-40 (2017) - [c2]Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Edoardo Legnani:
A dynamic weighting ensemble approach for wind energy production prediction. ICSRS 2017: 296-302 - [c1]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: 552-559 - 2016
- [j30]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: 1-13 (2016) - [j29]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: 48-61 (2016) - [j28]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: 66-82 (2016) - [j27]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: 109-124 (2016) - [j26]Yang Hu, Piero Baraldi, Francesco Di Maio, Enrico Zio:
Online Performance Assessment Method for a Model-Based Prognostic Approach. IEEE Trans. Reliab. 65(2): 718-735 (2016) - 2015
- [j25]Piero Baraldi, Francesco Di Maio, Davide Genini, Enrico Zio:
Reconstruction of missing data in multidimensional time series by fuzzy similarity. Appl. Soft Comput. 26: 1-9 (2015) - [j24]Piero Baraldi, Francesca Mangili, Enrico Zio:
A belief function theory based approach to combining different representation of uncertainty in prognostics. Inf. Sci. 303: 134-149 (2015) - [j23]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): 1723-1731 (2015) - [j22]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: 19-31 (2015) - [j21]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: 176-193 (2015) - [j20]Piero Baraldi, Francesco Di Maio, Davide Genini, Enrico Zio:
Comparison of Data-Driven Reconstruction Methods For Fault Detection. IEEE Trans. Reliab. 64(3): 852-860 (2015) - 2014
- [j19]Piero Baraldi, Michele Compare, Enrico Zio:
Uncertainty treatment in expert information systems for maintenance policy assessment. Appl. Soft Comput. 22: 297-310 (2014) - [j18]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): 225-241 (2014) - 2013
- [j17]Piero Baraldi, Francesco Di Maio, Enrico Zio:
Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components. Int. J. Comput. Intell. Syst. 6(4): 764-777 (2013) - [j16]Piero Baraldi, Michele Compare, Enrico Zio:
Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence. Inf. Sci. 245: 112-131 (2013) - [j15]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): 385-405 (2013) - [j14]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: 94-108 (2013) - [j13]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: 98-105 (2013) - [j12]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): 37-48 (2013) - [j11]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): 833-845 (2013) - 2012
- [j10]Piero Baraldi, Francesca Mangili, Enrico Zio:
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. IEEE Trans. Reliab. 61(4): 966-977 (2012) - 2011
- [b1]Enrico Zio, Piero Baraldi, Francesco Cadini:
Reliability and Risk Analysis. Series on Quality, Reliability and Engineering Statistics 13-15, WorldScientific 2011, ISBN 978-981-4360-68-5 - [j9]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): 9211-9224 (2011) - [j8]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): 221-234 (2011) - [j7]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): 480-488 (2011)
2000 – 2009
- 2009
- [j6]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): 12461-12471 (2009) - [j5]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): 1947-1964 (2009) - [j4]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): 118-151 (2009) - [j3]Enrico Zio, Piero Baraldi, Nicola Pedroni:
Optimal power system generation scheduling by multi-objective genetic algorithms with preferences. Reliab. Eng. Syst. Saf. 94(2): 432-444 (2009) - 2008
- [j2]Enrico Zio, Piero Baraldi, Giulio Gola:
Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery. Appl. Soft Comput. 8(4): 1365-1380 (2008) - [j1]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): 60-76 (2008)
Coauthor Index
[j54] [j53] [j52] [j51] [j50] [c7] [j49] [j48] [j47] [c6] [j46] [j45] [c5] [c4] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c3] [j32] [j31] [c2] [c1] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [b1] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1]
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