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Engineering and Technology

D-Index
42
Citations
6564
World Ranking
6609
National Ranking
218

Overview

Piero Baraldi is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the fields of Engineering and Computer Science, with a total of 128 and 46 publications respectively.

Their work concentrates on several subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality, and Statistics, Probability and Uncertainty. This range reflects a focus on complex systems and the integration of advanced technologies for optimizing reliability and safety.

Main topics covered in Piero Baraldi's research include:

  • Fault Detection and Control Systems
  • Machine Fault Diagnosis Techniques
  • Reliability and Maintenance Optimization
  • Energy Load and Power Forecasting
  • Risk and Safety Analysis
  • Anomaly Detection Techniques and Applications
  • Software Reliability and Analysis Research

Their recent publications demonstrate engagement with reliability engineering, renewable energy systems, and advanced neural network models for system prognostics and fault detection. Notable papers include:

  • "Maintenance optimization in industry 4.0" (2023), published in Reliability Engineering & System Safety
  • "Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants" (2020), published in Applied Energy
  • "Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning" (2021), published in Renewable Energy
  • "A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks" (2021), published in Reliability Engineering & System Safety
  • "A multi-branch deep neural network model for failure prognostics based on multimodal data" (2021), published in Journal of Manufacturing Systems

Piero Baraldi has frequently collaborated with several researchers, including Enrico Zio, Luca Pinciroli, Michele Compare, Ahmed Shokry, and Luigi Serio, reflecting recurring partnerships that have contributed to multiple publications.

Publications are often found in venues focused on reliability, safety, and engineering systems. The most frequent publication venues include:

  • Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference
  • Reliability Engineering & System Safety
  • Energies
  • Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
  • SSRN Electronic Journal

Best Publications

  • Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0

    Michele Compare;Piero Baraldi;Enrico Zio

  • Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods

    Terje Aven;Enrico Zio;Piero Baraldi;Roger Flage

  • Concerns, challenges, and directions of development for the issue of representing uncertainty in risk assessment.

    Roger Flage;Terje Aven;Enrico Zio;Enrico Zio;Piero Baraldi

  • A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis

    Piero Baraldi;Enrico Zio

  • Maintenance optimization in industry 4.0

    Unknown

  • Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data

    Piero Baraldi;Francesca Mangili;Enrico Zio;Enrico Zio

  • A particle filtering and kernel smoothing-based approach for new design component prognostics

    Yang Hu;Piero Baraldi;Francesco Di Maio;Enrico Zio;Enrico Zio

  • A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics

    P. Baraldi;F. Mangili;E. Zio

  • Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application

    Piero Baraldi;Luca Podofillini;Lusine Mkrtchyan;Enrico Zio;Enrico Zio

  • Model-based and data-driven prognostics under different available information

    Piero Baraldi;Francesco Cadini;Francesca Mangili;Enrico Zio;Enrico Zio

  • Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions

    Piero Baraldi;Francesco Cannarile;Francesco Di Maio;Enrico Zio;Enrico Zio

  • A fuzzy set-based approach for modeling dependence among human errors

    E. Zio;P. Baraldi;M. Librizzi;L. Podofillini

  • Ensemble neural network-based particle filtering for prognostics

    Piero Baraldi;Michele Compare;Sergio Sauco;Enrico Zio;Enrico Zio

  • Ensemble of optimized echo state networks for remaining useful life prediction

    Marco Rigamonti;Piero Baraldi;Enrico Zio;Enrico Zio;Indranil Roychoudhury

  • Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants

    Hoang-Phuong Nguyen;Piero Baraldi;Enrico Zio;Enrico Zio;Enrico Zio

  • Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics

    P. Baraldi;G. Bonfanti;E. Zio;E. Zio

  • Probability and possibility-based representations of uncertainty in fault tree analysis.

    Roger Flage;Piero Baraldi;Enrico Zio;Enrico Zio;Terje Aven

  • Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions

    Marco Rigamonti;Piero Baraldi;Enrico Zio;Daniel Astigarraga

  • A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments

    Zhe Yang;Sameer Al-Dahidi;Piero Baraldi;Enrico Zio

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

    Unknown

  • Assessment of the availability of an offshore installation by Monte Carlo simulation

    Enrico Zio;Piero Baraldi;Edoardo Patelli

  • Uncertainty in Risk Assessment

    Terje Aven;Enrico Zio;Piero Baraldi;R. Flage

  • Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods

    Francesco Di Maio;Piero Baraldi;Enrico Zio;Redouane Seraoui

  • Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors

    Daniel Astigarraga;Federico Martin Ibanez;Ainhoa Galarza;Jose Martin Echeverria

Frequent Co-Authors

Enrico Zio
Enrico Zio Polytechnic University of Milan
Terje Aven
Terje Aven University of Stavanger
Christophe Bérenguer
Christophe Bérenguer Grenoble Alpes University
Kai Goebel
Kai Goebel Palo Alto Research Center
Antonio Cammi
Antonio Cammi Polytechnic University of Milan
Eric Moulines
Eric Moulines Mohamed bin Zayed University of Artificial Intelligence

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