A hybrid method based on deep learning and ensemble learning for induction motor fault detection using sound signals-Reference-Cited by-同舟云学术

A hybrid method based on deep learning and ensemble learning for induction motor fault detection using sound signals

Published:2023-12-04 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Shirdel Shahryar,Teimoortashloo Mazdak^ORCID,Mohammadiun Mohammad,Gharahbagh Abdorreza Alavi

Funder

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15996-5.pdf

Reference49 articles.

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3. Al-Musawi Ammar K, Anayi MF, Packianather. (2020) Three-phase induction motor fault detection based on thermal image segmentation. Infrared Phys Technol. 104:103140–103140

4. Bacha K, Salem SB, Chaari A (2012) An improved combination of Hilbert and Park transforms for fault detection and identification in three-phase induction motors. Int J Electr Power Energy Syst 43(1):1006–1016

5. Bazan G, Henrique PR, Scalassara W, Endo A, Goedtel RH, Palácios W (2018) Stator short-circuit diagnosis in induction motors using mutual information and intelligent systems. IEEE Trans Industr Electron 66(4):3237–3246

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