Piero Baraldi
Orcid: 0000-0003-4232-4161
According to our database1,
Piero Baraldi
authored at least 62 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Sensitivity analysis by differential importance measure for unsupervised fault diagnostics.
Reliab. Eng. Syst. Saf., March, 2024
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., January, 2024
2023
Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment.
IEEE Trans. Ind. Informatics, August, 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.
Expert Syst. Appl., 2023
Proceedings of the 7th International Conference on System Reliability and Safety, 2023
2022
Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors.
IEEE Trans. Intell. Transp. Syst., 2022
A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data.
IEEE Syst. J., 2022
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks.
Reliab. Eng. Syst. Saf., 2022
Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network.
Proceedings of the 6th International Conference on System Reliability and Safety, 2022
2021
Association rules extraction for the identification of functional dependencies in complex technical infrastructures.
Reliab. Eng. Syst. Saf., 2021
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data.
Expert Syst. Appl., 2021
Natural Language Processing and Bayesian Networks for the Analysis of Process Safety Events.
Proceedings of the 5th International Conference on System Reliability and Safety, 2021
Damage Detection in Truss Structures Supporting Pipelines and Auxiliary Equipment in Power Plants.
Proceedings of the 5th International Conference on System Reliability and Safety, 2021
2020
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments.
IEEE Trans. Neural Networks Learn. Syst., 2020
A novel method for maintenance record clustering and its application to a case study of maintenance optimization.
Reliab. Eng. Syst. Saf., 2020
Reliab. Eng. Syst. Saf., 2020
Partially observable Markov decision processes for optimal operations of gas transmission networks.
Reliab. Eng. Syst. Saf., 2020
Industrial equipment reliability estimation: A Bayesian Weibull regression model with covariate selection.
Reliab. Eng. Syst. Saf., 2020
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., 2020
IEEE Internet Things J., 2020
Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements.
Eng. Appl. Artif. Intell., 2020
2019
An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories.
Fuzzy Sets Syst., 2019
2018
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., 2018
Neurocomputing, 2018
A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis.
Appl. Soft Comput., 2018
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders.
Proceedings of the 3rd International Conference on System Reliability and Safety, 2018
2017
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components.
Reliab. Eng. Syst. Saf., 2017
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory.
Expert Syst. Appl., 2017
Proceedings of the 2nd International Conference on System Reliability and Safety, 2017
A hybrid Monte Carlo and possibilistic approach to estimate non-suppression probability in fire probabilistic safety analysis.
Proceedings of the 2nd International Conference on System Reliability and Safety, 2017
2016
IEEE Trans. Reliab., 2016
Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions.
Reliab. Eng. Syst. Saf., 2016
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions.
Reliab. Eng. Syst. Saf., 2016
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach.
Microelectron. Reliab., 2016
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions.
Eng. Appl. Artif. Intell., 2016
2015
IEEE Trans. Reliab., 2015
A particle filtering and kernel smoothing-based approach for new design component prognostics.
Reliab. Eng. Syst. Saf., 2015
Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application.
Reliab. Eng. Syst. Saf., 2015
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine.
J. Intell. Fuzzy Syst., 2015
A belief function theory based approach to combining different representation of uncertainty in prognostics.
Inf. Sci., 2015
Appl. Soft Comput., 2015
2014
Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms.
Int. J. Comput. Intell. Syst., 2014
Uncertainty treatment in expert information systems for maintenance policy assessment.
Appl. Soft Comput., 2014
2013
Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods.
IEEE Trans. Reliab., 2013
Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities.
IEEE Trans. Reliab., 2013
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., 2013
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data.
Reliab. Eng. Syst. Saf., 2013
A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age.
Qual. Reliab. Eng. Int., 2013
Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence.
Inf. Sci., 2013
Int. J. Comput. Intell. Syst., 2013
2012
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics.
IEEE Trans. Reliab., 2012
2011
Series on Quality, Reliability and Engineering Statistics 13-15, WorldScientific, ISBN: 978-981-4360-68-5, 2011
Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions.
Reliab. Eng. Syst. Saf., 2011
Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components.
Integr. Comput. Aided Eng., 2011
Expert Syst. Appl., 2011
2009
Optimal power system generation scheduling by multi-objective genetic algorithms with preferences.
Reliab. Eng. Syst. Saf., 2009
Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification.
Int. J. Intell. Syst., 2009
Fuzzy Sets Syst., 2009
Expert Syst. Appl., 2009
2008
Int. J. Comput. Intell. Syst., 2008
Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery.
Appl. Soft Comput., 2008