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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
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Information on professor
ProfessorBaraldi Piero
QualificationAssociate professor
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorING-IND/19 - Nuclear Power Plants
Curriculum VitaeDownload CV (187.61Kb - 27/09/2013)
OrcIDhttps://orcid.org/0000-0003-4232-4161

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
energia----MondayFrom 15:00
To 17:00
6345----
E-mailpiero.baraldi@polimi.it
Professor's personal website--

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2018
No product yet registered in the year 2018


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment (Show >>)
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components (Show >>)
Conference proceedings
A switching ensemble approach for remaining useful life estimation of electrolytic capacitors (Show >>)
Resistance-based probabilistic design by order statistics for an oil and gas deep-water well casing string affected by wear during kick load (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions (Show >>)
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions (Show >>)
Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors (Show >>)
Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions (Show >>)
Online Performance Assessment Method for a Model-Based Prognostic Approach (Show >>)
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach (Show >>)
Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions (Show >>)
Conference proceedings
A comparison between extreme learning machine and artificial neural network for remaining useful life prediction (Show >>)
echo state network for the remaining useful life prediction of a turbofan engine (Show >>)


List of publications and reserach products for the year 2015 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine (Show >>)
Reconstruction of missing data in multidimensional time series by fuzzy similarity (Show >>)
Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients (Show >>)
Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method (Show >>)
A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression (Show >>)
Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application (Show >>)
Guest Editorial (Show >>)
Interacting multiple-models, state augmented Particle Filtering for fault diagnostics (Show >>)
A belief function theory based approach to combining different representation of uncertainty in prognostics (Show >>)
Comparison of Data-Driven Reconstruction Methods for Fault Detection (Show >>)
Ensemble clustering for fault diagnosis in industrial plants (Show >>)
A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine (Show >>)
Conference proceedings
Supporting Maintenance Decision with Empirical Models Based on Fleet-Wide Data (Show >>)
A method for on-line evaluating the accuracy of a particle filter-based prognostic approach (Show >>)
Unsupervised ensemble clustering for transients classification in a nuclear power plant turbine (Show >>)
A COMPacted Object Sample Extraction (COMPOSE)-based Method for fault Diagnostics in Evolving Environment (Show >>)
Assessment of the improvement achieved in RAMS by a FEV embedding a powertrain PHMS (Show >>)
A Self-Organizing Map-Based Monitoring System for Insulated Gate Bipolar Transistors Operating in Fully Electric Vehicle (Show >>)
Reducing Uncertainty in PHM by Accounting for Human Factors - A Case Study in the Biopharmaceutical Industry (Show >>)


List of publications and reserach products for the year 2014 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A novel fault detection system taking into account uncertainties in the reconstructed signals (Show >>)
Guest Editorial (Show >>)
A particle filtering and kernel smoothing-based approach for new design component prognostics (Show >>)
Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment (Show >>)
A hybrid ensemble-based approach for process parameter estimation and degradation assessment in offshore oil platforms (Show >>)
Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms (Show >>)
Uncertainty treatment in expert information systems for maintenance policy assessment (Show >>)
Scientific Books
Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods (Show >>)
Conference proceedings
Quantification of Signal Reconstruction Uncertainty in Fault Detection System (Show >>)
A Prognostic approach based on particle filtering and optimized tuning kernel smoothing (Show >>)
A modified Auto Associative Kernel Regression method for robust signal reconstruction in Nuclear Power Plant components (Show >>)
A procedure for practical Prognostic and Health Management of Fully Electric Vehicles for Enhanced Safety and Reliability (Show >>)
A Particle Filtering-Based Approach for the Prediction of the Remaining Useful Life of an Aluminum Electrolytic Capacitor (Show >>)
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