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Engineering and Technology

D-Index
36
Citations
6290
World Ranking
8628
National Ranking
200

Overview

Rafael Gouriveau is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research primarily focuses on the field of engineering, with particular emphasis on electrical and electronic engineering, automotive engineering, and control and systems engineering.

The main topics covered by their work include:

  • Fuel Cells and Related Materials
  • Advanced Battery Technologies Research
  • Fault Detection and Control Systems

Among their recent publications is the paper titled "Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives", published in 2021 in the journal Renewable Energy.

Frequent co-authors collaborating with Rafael Gouriveau include:

  • Meiling Yue
  • Samir Jemeï
  • Noureddine Zerhouni

Their work has appeared predominantly in the journal Renewable Energy.

Best Publications

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

    Patrick Nectoux;Rafael Gouriveau;Kamal Medjaher;Emmanuel Ramasso

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

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

  • 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

  • Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems .

    R.E. Silva;R.E. Silva;R.E. Silva;R. Gouriveau;R. Gouriveau;S. Jemeï;S. Jemeï;D. Hissel;D. Hissel

  • 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 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

  • Estimating the end-of-life of PEM fuel cells: Guidelines and metrics

    Marine Jouin;Mathieu Bressel;Mathieu Bressel;Simon Morando;Rafael Gouriveau

  • Review of prognostic problem in condition-based maintenance

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

  • Prognostics of Proton Exchange Membrane Fuel Cells stack using an ensemble of constraints based connectionist networks

    Kamran Javed;Rafael Gouriveau;Noureddine Zerhouni;Daniel Hissel

  • Proton exchange membrane fuel cell ageing forecasting algorithm based on Echo State Network

    Simon Morando;Samir Jemei;Daniel Hissel;Rafael Gouriveau

  • Proton exchange membrane fuel cell behavioral model suitable for prognostics.

    Elodie Lechartier;Elie Laffly;Marie-Cécile Péra;Rafael Gouriveau

  • Accelerated stress test procedures for PEM fuel cells under actual load constraints: State-of-art and proposals

    Raffaele Petrone;Raffaele Petrone;Daniel Hissel;Daniel Hissel;Marie Péra;Marie Péra;Didier Chamagne;Didier Chamagne

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

    Rafael Gouriveau;Kamal Medjaher;Noureddine Zerhouni

  • Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model

    Kamran Javed;Rafael Gouriveau;Xiang Li;Noureddine Zerhouni

  • Joint Particle Filters Prognostics for Proton Exchange Membrane Fuel Cell Power Prediction at Constant Current Solicitation

    Marine Jouin;Rafael Gouriveau;Daniel Hissel;Marie-Cecile Pera

  • Fuel Cells prognostics using echo state network

    S. Morando;S. Jemei;R. Gouriveau;N. Zerhouni

  • SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization

    Kamran Javed;Rafael Gouriveau;Noureddine Zerhouni

Frequent Co-Authors

Noureddine Zerhouni
Noureddine Zerhouni Centre national de la recherche scientifique, CNRS
Daniel Hissel
Daniel Hissel University of Franche-Comté
Marie-Cécile Péra
Marie-Cécile Péra Centre national de la recherche scientifique, CNRS
Kamal Medjaher
Kamal Medjaher Federal University of Toulouse Midi-Pyrénées
Yongping Pan
Yongping Pan Sun Yat-sen University
Meng Joo Er
Meng Joo Er Dalian Maritime University
Kodjo Agbossou
Kodjo Agbossou Université du Québec à Trois-Rivières
Haoyong Yu
Haoyong Yu National University of Singapore
Loic Boulon
Loic Boulon Université du Québec à Trois-Rivières

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