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D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
7308
World Ranking
8587
National Ranking
198

Overview

Kamal Medjaher is affiliated with the Federal University of Toulouse Midi-Pyrénées in France, focusing primarily on engineering research. Their work spans several key areas within engineering, including control and systems engineering, mechanical engineering, artificial intelligence, industrial and manufacturing engineering, and safety, risk, reliability, and quality.

The scientist's research topics cover a range of specialized domains such as fault detection and control systems, machine fault diagnosis techniques, reliability and maintenance optimization, gear and bearing dynamics analysis, anomaly detection techniques and applications, advanced battery technologies research, and industrial vision systems and defect detection.

Selected recent papers authored or coauthored include:

  • "Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation," 2020, International Journal of Prognostics and Health Management
  • "A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines," 2022, Artificial Intelligence Review
  • "Thermal Modeling Approaches for a LiCoO2 Lithium-ion Battery-A Comparative Study with Experimental Validation," 2020, Batteries
  • "Physics-informed machine learning in prognostics and health management: State of the art and challenges," 2023, Applied Mathematical Modelling
  • "Pattern recognition method of fault diagnostics based on a new health indicator for smart manufacturing," 2020, Mechanical Systems and Signal Processing

The frequent publication venues where Medjaher's research appears include:

  • SSRN Electronic Journal
  • PHM Society European Conference
  • International Journal of Prognostics and Health Management
  • IFAC-PapersOnLine
  • Journal of Intelligent Manufacturing

Kamal Medjaher has collaborated regularly with a number of researchers, including:

  • Khanh T.P. Nguyen
  • Sagar Jose
  • Marcos E. Orchard
  • Christian Gogu
  • Moncef Soualhi

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

  • 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

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

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

  • A new dynamic predictive maintenance framework using deep learning for failure prognostics

    Khanh T.P. Nguyen;Kamal Medjaher

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

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

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

    Vepa Atamuradov;Kamal Medjaher;Pierre Dersin;Benjamin Lamoureux

  • Diagnostic bond graphs for online fault detection and isolation

    A.K. Samantaray;K. Medjaher;B. Ould Bouamama;M. Staroswiecki

  • Supervision of an industrial steam generator. Part I: Bond graph modelling

    B. Ould Bouamama;K. Medjaher;A.K. Samantaray;M. Staroswiecki

  • Feature Evaluation for Effective Bearing Prognostics.

    Fatih Camci;Kamal Medjaher;Noureddine Zerhouni;Patrick Nectoux

  • Fault Detection and Isolation of Smart Actuators Using Bond Graphs and External Models

    B. Ould Bouamama;K. Medjaher;M. Bayart;A.K. Samantaray

  • From Prognostics and Health Systems Management to Predictive Maintenance 1: Monitoring and Prognostics

    Rafael Gouriveau;Kamal Medjaher;Noureddine Zerhouni

  • Model builder using functional and bond graph tools for FDI design

    B. Ould Bouamama;B. Ould Bouamama;A.K. Samantaray;K. Medjaher;M. Staroswiecki

  • Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals

    Moncef Soualhi;Khanh T.P. Nguyen;Abdenour Soualhi;Kamal Medjaher

  • Hidden Markov Models for failure diagnostic and prognostic

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

  • Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment

    Vepa Atamuradov;Kamal Medjaher;Fatih Camci;Pierre Dersin

  • Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data

    K. Medjaher;N. Zerhouni;J. Baklouti

  • Dependability of wireless sensor networks for industrial prognostics and health management

    W. Elghazel;J. Bahi;C. Guyeux;M. Hakem

  • Physics-informed machine learning in prognostics and health management: State of the art and challenges

    Unknown

Frequent Co-Authors

Noureddine Zerhouni
Noureddine Zerhouni Centre national de la recherche scientifique, CNRS
Marcos E. Orchard
Marcos E. Orchard University of Chile
Rafael Gouriveau
Rafael Gouriveau Centre national de la recherche scientifique, CNRS
Arun Kumar Samantaray
Arun Kumar Samantaray Indian Institute of Technology Kharagpur
Joseba Quevedo
Joseba Quevedo Universitat Politècnica de Catalunya

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