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Enrico Zio

Researcher Next ID · RN-032480

Researcher · Decision Sciences

Inserm

Paris, France

Accepting doctoral researchersFunding unknown
Works count
1,799
Citation count
46,618
H-index
101
i10-index
753

Research interests

Decision Sciences
Engineering
Risk and Safety Analysis
Reliability and Maintenance Optimization
Fault Detection and Control Systems
Probabilistic and Robust Engineering Design
Machine Fault Diagnosis Techniques

Publications

  • Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study

    Reliability Engineering & System Safety · 2024 · https://doi.org/10.1016/j.ress.2024.109964

  • Prognostics and health management: A review from the perspectives of design, development and decision

    Reliability Engineering & System Safety · 2021 · 10.1016/j.ress.2021.108063

  • Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

    Reliability Engineering & System Safety · 2021 · https://doi.org/10.1016/j.ress.2021.108119

  • Remaining useful life prediction using multi-scale deep convolutional neural network

    Applied Soft Computing · 2020 · 10.1016/j.asoc.2020.106113

  • A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

    Applied Soft Computing · 2020 · https://doi.org/10.1016/j.asoc.2020.106996

  • Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

    IEEE Transactions on Industrial Electronics · 2019 · 10.1109/tie.2019.2924605

  • A reinforcement learning framework for optimal operation and maintenance of power grids

    Applied Energy · 2019 · 10.1016/j.apenergy.2019.03.027

  • Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0

    IEEE Internet of Things Journal · 2019 · 10.1109/jiot.2019.2957029

  • The future of risk assessment

    Reliability Engineering & System Safety · 2018 · 10.1016/j.ress.2018.04.020

  • Artificial intelligence for fault diagnosis of rotating machinery: A review

    Mechanical Systems and Signal Processing · 2018 · https://doi.org/10.1016/j.ymssp.2018.02.016

  • Some Challenges and Opportunities in Reliability Engineering

    IEEE Transactions on Reliability · 2016 · 10.1109/tr.2016.2591504

  • Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems

    IEEE Transactions on Reliability · 2016 · 10.1109/tr.2016.2521761

  • Challenges in the vulnerability and risk analysis of critical infrastructures

    Reliability Engineering & System Safety · 2016 · 10.1016/j.ress.2016.02.009

  • Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

    Digital Signal Processing · 2014 · 10.1016/j.dsp.2013.12.010

  • An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

    Reliability Engineering & System Safety · 2014 · 10.1016/j.ress.2014.06.023

  • Foundational Issues in Risk Assessment and Risk Management

    Risk Analysis · 2013 · 10.1111/risa.12132

  • Reinforcement learning for microgrid energy management

    Energy · 2013 · 10.1016/j.energy.2013.05.060

  • The Monte Carlo Simulation Method for System Reliability and Risk Analysis

    Springer series in reliability engineering · 2012 · 10.1007/978-1-4471-4588-2

  • Failure and reliability prediction by support vector machines regression of time series data

    Reliability Engineering & System Safety · 2011 · 10.1016/j.ress.2011.06.006

  • Some considerations on the treatment of uncertainties in risk assessment for practical decision making

    Reliability Engineering & System Safety · 2010 · 10.1016/j.ress.2010.06.001

  • A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system

    Reliability Engineering & System Safety · 2009 · 10.1016/j.ress.2009.08.001

  • Reliability engineering: Old problems and new challenges

    Reliability Engineering & System Safety · 2008 · https://doi.org/10.1016/j.ress.2008.06.002

  • Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation

    Reliability Engineering & System Safety · 2002 · 10.1016/s0951-8320(02)00043-1

  • Multiobjective optimization by genetic algorithms: application to safety systems

    Reliability Engineering & System Safety · 2001 · 10.1016/s0951-8320(00)00109-5

  • Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation

    Reliability Engineering & System Safety · 2000 · 10.1016/s0951-8320(00)00007-7

Current projects

    No projects listed.