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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
Informazioni sul docente
DocenteBaraldi Piero
QualificaProfessore associato a tempo pieno
Dipartimento d'afferenzaDipartimento di Energia
Settore Scientifico DisciplinareING-IND/19 - Impianti Nucleari
Curriculum VitaeScarica il CV (121.35Kb - 22/01/2018)
OrcIDhttps://orcid.org/0000-0003-4232-4161

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E-mailpiero.baraldi@polimi.it
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Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2019 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2018 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms (Mostra >>)
Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components (Mostra >>)
A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis (Mostra >>)
Hybrid Probabilistic-Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads (Mostra >>)
A Markov decision process framework for optimal operation of monitored multi-state systems (Mostra >>)
An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors (Mostra >>)
Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics (Mostra >>)
Contributo in Atti di convegno
A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery (Mostra >>)
Dealing with uncertainty in modelling of wastewater disinfection by peracetic acid (Mostra >>)
A smart framework for the availability and reliability assessment and management of accelerators technical facilities (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2017 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment (Mostra >>)
Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components (Mostra >>)
Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory (Mostra >>)
A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets (Mostra >>)
Ensemble of optimized echo state networks for remaining useful life prediction (Mostra >>)
Contributo in Atti di convegno
A switching ensemble approach for remaining useful life estimation of electrolytic capacitors (Mostra >>)
Resistance-based probabilistic design by order statistics for an oil and gas deep-water well casing string affected by wear during kick load (Mostra >>)
A Hybrid Monte Carlo and Possibilistic Approach to Estimate Non-Suppression Probability in Fire Probabilistic Safety Analysis (Mostra >>)
An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry (Mostra >>)
A Dynamic Weighting Ensemble Approach for Wind Energy Production Prediction (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2016 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions (Mostra >>)
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions (Mostra >>)
Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors (Mostra >>)
Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions (Mostra >>)
Online Performance Assessment Method for a Model-Based Prognostic Approach (Mostra >>)
Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach (Mostra >>)
Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions (Mostra >>)
Contributo in Atti di convegno
A semi-supervised feature selection approach for fault diagnostics in evolving environments (Mostra >>)
A comparison between extreme learning machine and artificial neural network for remaining useful life prediction (Mostra >>)
echo state network for the remaining useful life prediction of a turbofan engine (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2015 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Articoli su riviste
Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine (Mostra >>)
Reconstruction of missing data in multidimensional time series by fuzzy similarity (Mostra >>)
Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients (Mostra >>)
Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method (Mostra >>)
A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression (Mostra >>)
Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application (Mostra >>)
Guest Editorial (Mostra >>)
Interacting multiple-models, state augmented Particle Filtering for fault diagnostics (Mostra >>)
A belief function theory based approach to combining different representation of uncertainty in prognostics (Mostra >>)
Comparison of Data-Driven Reconstruction Methods for Fault Detection (Mostra >>)
Ensemble clustering for fault diagnosis in industrial plants (Mostra >>)
A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine (Mostra >>)
Contributo in Atti di convegno
Supporting Maintenance Decision with Empirical Models Based on Fleet-Wide Data (Mostra >>)
A method for on-line evaluating the accuracy of a particle filter-based prognostic approach (Mostra >>)
Unsupervised ensemble clustering for transients classification in a nuclear power plant turbine (Mostra >>)
A COMPacted Object Sample Extraction (COMPOSE)-based Method for fault Diagnostics in Evolving Environment (Mostra >>)
Assessment of the improvement achieved in RAMS by a FEV embedding a powertrain PHMS (Mostra >>)
A Self-Organizing Map-Based Monitoring System for Insulated Gate Bipolar Transistors Operating in Fully Electric Vehicle (Mostra >>)
Reducing Uncertainty in PHM by Accounting for Human Factors - A Case Study in the Biopharmaceutical Industry (Mostra >>)
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07/12/2019