Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks

• Abderrzak Laib,

  Roles Conceptualization, Formal analysis, Writing – original draft

  Affiliation Department of Electrical Engineering, Faculty of Technology, LGE Research Laboratory, University of M’Sila, M'Sila, Algeria

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• Fayssal Ouagueni,

  Roles Conceptualization, Formal analysis, Writing – original draft

  Affiliation Department of Electrical Engineering, Faculty of Technology, LGE Research Laboratory, University of M’Sila, M'Sila, Algeria

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• Abdelghafour Herizi,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Electrical Engineering, Faculty of Technology, LGE Research Laboratory, University of M’Sila, M'Sila, Algeria

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• Salim Djeriou,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Electrical Engineering, Faculty of Technology, LGE Research Laboratory, University of M’Sila, M'Sila, Algeria

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• Hafiz Ahmed ,

  Roles Investigation, Supervision, Writing – review & editing

  * E-mail: hafiz.h.ahmed@ieee.org

  Affiliations Autonex Systems Limited, London, United Kingdom, School of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, United Kingdom

  https://orcid.org/0000-0001-8952-4190

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• Zakaria Chedjara,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Faculty of Applied Sciences, Ibn Khaldoun University of Tiaret Algeria, Tiaret, Algeria

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• Saida Dahmane

  Roles Formal analysis, Supervision, Writing – review & editing

  Affiliation Department of Electrical Engineering, Faculty of Technology, LGE Research Laboratory, University of M’Sila, M'Sila, Algeria

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