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D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
14698
World Ranking
2604
National Ranking
41

Overview

Noureddine Zerhouni is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research spans multiple fields with a primary focus on engineering and computer science. They have contributed extensively to subfields including artificial intelligence, control and systems engineering, industrial and manufacturing engineering, electrical and electronic engineering, and mechanical engineering.

The scientist's work covers several main topics such as:

  • Machine Fault Diagnosis Techniques
  • Fuel Cells and Related Materials
  • Fault Detection and Control Systems
  • Advanced Battery Technologies Research
  • AI in Cancer Detection
  • Reliability and Maintenance Optimization
  • Industrial Vision Systems and Defect Detection

Notable recent papers authored or co-authored by Zerhouni include:

  • Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation, 2020, International Journal of Prognostics and Health Management
  • A CNN-based methodology for breast cancer diagnosis using thermal images, 2020, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  • A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction, 2020, International Journal of Hydrogen Energy
  • A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell, 2022, Applied Energy
  • Hybrid fuel cell system degradation modeling methods: A comprehensive review, 2021, Journal of Power Sources

Zerhouni frequently publishes in venues such as:

  • International Journal of Prognostics and Health Management
  • PHM Society European Conference
  • arXiv (Cornell University)
  • International Journal of Hydrogen Energy
  • Applied Energy

Collaborations have been an important part of Zerhouni's research. Frequent co-authors include Zeina Al Masry, Labib Sadek Terrissa, Christophe Varnier, Christine Devalland, and Safa Meraghni, reflecting a network of joint work spanning multiple publications.

Best Publications

  • PRONOSTIA : An experimental platform for bearings accelerated degradation tests.

    Patrick Nectoux;Rafael Gouriveau;Kamal Medjaher;Emmanuel Ramasso

  • Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

    Abdenour Soualhi;Kamal Medjaher;Noureddine Zerhouni

  • A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

    D. A. Tobon-Mejia;K. Medjaher;N. Zerhouni;G. Tripot

  • Health assessment and life prediction of cutting tools based on support vector regression

    T. Benkedjouh;K. Medjaher;N. Zerhouni;S. Rechak

  • Direct Remaining Useful Life Estimation Based on Support Vector Regression

    Racha Khelif;Brigitte Chebel-Morello;Simon Malinowski;Emna Laajili

  • Remaining useful life estimation based on nonlinear feature reduction and support vector regression

    Tarak Benkedjouh;Kamal Medjaher;Noureddine Zerhouni;Saïd Rechak

  • Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

    A. Mosallam;K. Medjaher;N. Zerhouni

  • Particle filter-based prognostics: Review, discussion and perspectives

    Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra

  • Remaining Useful Life Estimation of Critical Components With Application to Bearings

    K. Medjaher;D. A. Tobon-Mejia;N. Zerhouni

  • Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics.

    Kamran Javed;Rafael Gouriveau;Noureddine Zerhouni;Patrick Nectoux

  • Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

    Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra

  • Prognostics of PEM fuel cell in a particle filtering framework

    Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra

  • CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

    Diego Tobon-Mejia;Diego Tobon-Mejia;Kamal Medjaher;Noureddine Zerhouni

  • Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies

    Meiling Yue;Samir Jemei;Rafael Gouriveau;Noureddine Zerhouni

  • Prognostics and health management for maintenance practitioners - Review, implementation and tools evaluation

    Vepa Atamuradov;Kamal Medjaher;Pierre Dersin;Benjamin Lamoureux

  • Prognostics and Health Management of PEMFC – State of the art and remaining challenges

    Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cécile Péra

  • State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

    Kamran Javed;Rafael Gouriveau;Noureddine Zerhouni

  • A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

    Kamran Javed;Rafael Gouriveau;Noureddine Zerhouni

  • A CNN-based methodology for breast cancer diagnosis using thermal images

    Juan Zuluaga-Gomez;Zeina Al Masry;Khaled Benaggoune;Safa Meraghni

  • Deep Learning in the Biomedical Applications: Recent and Future Status

    Ryad Zemouri;Noureddine Zerhouni;Daniel Racoceanu

  • Review of prognostic problem in condition-based maintenance

    Otilia Elena Dragomir;Rafael Gouriveau;Florin Dragomir;Eugenia Minca

  • Recurrent radial basis function network for time-series prediction

    Ryad Zemouri;Daniel Racoceanu;Noureddine Zerhouni

Frequent Co-Authors

Rafael Gouriveau
Rafael Gouriveau Centre national de la recherche scientifique, CNRS
Kamal Medjaher
Kamal Medjaher Federal University of Toulouse Midi-Pyrénées
Daniel Hissel
Daniel Hissel University of Franche-Comté
Marie-Cécile Péra
Marie-Cécile Péra Centre national de la recherche scientifique, CNRS
Farhat Fnaiech
Farhat Fnaiech Tunis University

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