Early detection and localization of stator inter-turn faults based on discrete wavelet energy ratio and neural networks in induction motor-Reference-Cited by-同舟云学术

Early detection and localization of stator inter-turn faults based on discrete wavelet energy ratio and neural networks in induction motor

Published:2020-12 Issue: Volume:212 Page:118684
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Cherif Hakima,Benakcha Abdelhamid,Laib Ismail,Chehaidia Seif Eddine,Menacer Arezky,Soudan Bassel,Olabi A.G.

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference34 articles.

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4. Detection of stator winding faults in induction machines using flux and vibration analysis;Lamim Filho;Mech Syst Signal Process,2014

5. Application of AI tools in fault diagnosis of electrical machines and drives-an overview;Awadallah;IEEE Trans Energy Convers,2003

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5. Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors;Engineering Applications of Artificial Intelligence;2024-04