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Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques

Author(s): ORCID (Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
(Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, India)
(Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
(Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
(Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
ORCID (Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, India)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241289874
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217241289874.
  • About this
    data sheet
  • Reference-ID
    10806173
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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