Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors-Reference-Cited by-同舟云学术

Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors

Published:2024-04 Issue: Volume:130 Page:107724
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

AlShorman Omar,Irfan Muhammad,Abdelrahman Ra'ed Bani,Masadeh Mahmoud,Alshorman Ahmad,Sheikh Muhammad Aman,Saad Nordin,Rahman Saifur^ORCID

Funder

Najran University

Deanship of Scientific Research, King Saud University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference211 articles.

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2. Machine learning algorithms for rotating machinery bearing fault diagnostics;Adamsab;Mater. Today: Proc.,2021

3. Electromagnetic field analysis of switched reluctance motor under different conditions using finite element method;Aduru,2019

4. Decision fusion scheme for bearing defects diagnosis in induction motors;Agahi;Electr. Eng.,2020

5. Three-phase induction motor fault detection based on thermal image segmentation;Al-Musawi;Infrared Phys. Technol.,2020

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