Piero Baraldi

Piero Baraldi

Politecnico di Milano

H-index: 43

Europe-Italy

About Piero Baraldi

Piero Baraldi, With an exceptional h-index of 43 and a recent h-index of 33 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of prognostics and health management, artificial intelligence, uncertainty management.

His recent articles reflect a diverse array of research interests and contributions to the field:

Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets

Physics-Informed deep Autoencoder for fault detection in New-Design systems

Sensitivity analysis by differential importance measure for unsupervised fault diagnostics

Maintenance optimization in industry 4.0

Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning

A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of …

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

Optimization Method for an Improved Training of Physics Informed Neural Networks

Piero Baraldi Information

University

Position

___

Citations(all)

6271

Citations(since 2020)

3358

Cited By

4389

hIndex(all)

43

hIndex(since 2020)

33

i10Index(all)

127

i10Index(since 2020)

78

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Piero Baraldi Skills & Research Interests

prognostics and health management

artificial intelligence

uncertainty management

Top articles of Piero Baraldi

Title

Journal

Author(s)

Publication Date

Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets

Reliability Engineering & System Safety

Dario Valcamonico

Piero Baraldi

Enrico Zio

Luca Decarli

Anna Crivellari

...

2024/1/1

Physics-Informed deep Autoencoder for fault detection in New-Design systems

Mechanical Systems and Signal Processing

Chenyang Lai

Piero Baraldi

Enrico Zio

2024/6/1

Sensitivity analysis by differential importance measure for unsupervised fault diagnostics

Reliability Engineering & System Safety

Giovanni Floreale

Piero Baraldi

Xuefei Lu

Paolo Rossetti

Enrico Zio

2024/3/1

Maintenance optimization in industry 4.0

Luca Pinciroli

Piero Baraldi

Enrico Zio

2023/6/1

Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning

Applied Energy

Luca Pinciroli

Piero Baraldi

Michele Compare

Enrico Zio

2023/12/15

A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of …

Expert Systems with Applications

Mingjing Xu

Piero Baraldi

Zhe Yang

Enrico Zio

2023/3/1

A Method based on Natural Language Processing for Periodically Estimating Variations of Performance of Safety Barriers in Hydrocarbon Production Assets

Dario Valcamonico

Piero Baraldi

Enrico Zio

Luca Decarli

Laura La Rosa

...

2023

Optimization Method for an Improved Training of Physics Informed Neural Networks

Marzia Sepe

Enrico Zio

Piero Baraldi

2023/11/22

Guest Editorial: Special Issue of ESREL2020 PSAM15

Piero Baraldi

Francesco Di Maio

Enrico Zio

2023/10

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

Giovanni Floreale

Piero Baraldi

Enrico Zio

Olga Fink

2023

The Aramis Data Challenge to prognostics and health management methods for application in evolving environments

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Piero Baraldi

Michele Compare

Enrico Zio

Francesco Cannarile

Zhe Yang

2023/10

Prediction of the Number of Defectives in a Production Batch of Semiconductor Devices

Ibrahim Ahmed

Piero Baraldi

Enrico Zio

Horst Lewitschnig

2023

A novel metric to evaluate the association rules for identification of functional dependencies in complex technical infrastructures

Environment Systems and Decisions

Federico Antonello

Piero Baraldi

Enrico Zio

Luigi Serio

2022/9

A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Dario Valcamonico

Piero Baraldi

Francesco Amigoni

Enrico Zio

2022/12/20

Wrapper Selection of Features for Fault Diagnostics of Truss Structures

N Mohammad Juybari

Piero Baraldi

Antonio Palermo

Ali EFTEKHARI MILANI

Alessandro Marzani

...

2022

A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data

Environment Systems and Decisions

Federico Antonello

Piero Baraldi

Enrico Zio

Luigi Serio

2022/6

A Taxonomy for Modelling Reports of Process Safety Events in the Oil and Gas Industry

Dario Valcamonico

Piero Baraldi

Enrico Zio

Anna Crivellari

Luca Decarli

...

2022

Estimation of the Case Temperature of Insulated Gate Bipolar Temperatures in Induction Cooktops by Deep Neural Network

Mohammad N Juybari

Ibrahim Ahmed

Piero Baraldi

Alejandro Del Cueto

Javier Gil

...

2022/11/23

A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks

Reliability Engineering & System Safety

Zhe Yang

Piero Baraldi

Enrico Zio

2022/4/1

Monitoring Degradation of Insulated Gate Bipolar Transistors in Induction Cooktops by Artificial Neural Networks

Chenyang Lai

Piero Baraldi

Ibrahim Ahmed

Enrico Zio

Alejandro Del Cueto

...

2022

See List of Professors in Piero Baraldi University(Politecnico di Milano)