A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations-Reference-Cited by-同舟云学术

A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

Published:2023-04 Issue:4 Volume:14 Page:101945
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Hakim Mohammed,Omran Abdoulhdi A. Borhana,Ahmed Ali Najah,Al-Waily Muhannad^ORCID,Abdellatif Abdallah

Publisher

Elsevier BV

Subject

General Engineering

Reference219 articles.

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3. An intelligent fault diagnosis method of rolling bearings based on Welch power spectrum transformation with radial basis function neural network;Jin;JVC/J Vib Control,2020

4. Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis;Chen;IEEE Access,2020

5. Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis;Li;Meas J Int Meas Confed,2020

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