Multi‐channel deep pulse‐coupled net: a novel bearing fault diagnosis framework

Wu, Y., Yang, Y., Yang, Z. et al. (5 more authors) (2025) Multi‐channel deep pulse‐coupled net: a novel bearing fault diagnosis framework. IET Image Processing, 19 (1). e70033. ISSN 1751-9659

Abstract

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Item Type: Article
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© 2025 The Author(s). IET Image Processing published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords: Bearing Fault Diagnosis; brain-inspired computing; DPCNN; PCNN; Spectrogram; time series
Dates:
  • Published: January 2025
  • Published (online): 17 March 2025
  • Accepted: 22 February 2025
  • Submitted: 20 September 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Mar 2025 10:57
Last Modified: 25 Mar 2025 10:57
Status: Published
Publisher: Institution of Engineering and Technology (IET)
Refereed: Yes
Identification Number: 10.1049/ipr2.70033
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