Machine Learning Based Fault Diagnosis for Single-and Multi-Faults for Induction Motors Fed by Variable Frequency Drives-Reference-Cited by-同舟云学术

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Machine Learning Based Fault Diagnosis for Single-and Multi-Faults for Induction Motors Fed by Variable Frequency Drives

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Industry Applications Society Annual Meeting
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Author:

Ali Mohammad Zawad,Shabbir Md Nasmus Sakib Khan,Zaman Shafi Md Kawsar,Liang Xiaodong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8894477/8911839/08912395.pdf?arnumber=8912395

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental study of a teeth flux sensor for detection, location and severity evaluation of induction machine stator faults;Sensor Review;2024-03-26

2. Application of SVM Classification Technique in Single-phase AC Motor Bearing Fault Diagnosis using Motor Current Analysis with MRA - FFT as Feature Extractor and CFFS as Feature Selection Method;2023 IEEE 14th Control and System Graduate Research Colloquium (ICSGRC);2023-08-05

3. A Machine-Learning-Based Interturn Short-Circuit Diagnosis for Multi-Three-Phase Brushless Motors;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2023-07

4. A Cost-Efficient MCSA-Based Fault Diagnostic Framework for SCIM at Low-Load Conditions;Algorithms;2022-06-16

5. On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm;Electronics;2021-07-26

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