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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 (121.35Kb - 22/01/2018)

Professor's office hours
energia----MondayFrom 15:00
To 17:00
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 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms (Show >>)
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components (Show >>)

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 >>)
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory (Show >>)
A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets (Show >>)
Ensemble of optimized echo state networks for remaining useful life prediction (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 >>)
A Hybrid Monte Carlo and Possibilistic Approach to Estimate Non-Suppression Probability in Fire Probabilistic Safety Analysis (Show >>)
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry (Show >>)
A Dynamic Weighting Ensemble Approach for Wind Energy Production Prediction (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 semi-supervised feature selection approach for fault diagnostics in evolving environments (Show >>)
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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