Research on Intelligent Diagnosis Algorithm for Electrical Faults of Induction Motor Stator and Rotor Based on Coordinate Transformation and Support Vector Machine-Reference-Cited by-同舟云学术

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Research on Intelligent Diagnosis Algorithm for Electrical Faults of Induction Motor Stator and Rotor Based on Coordinate Transformation and Support Vector Machine

Published:2023-08-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA)
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Author:

Jiang Wei¹,Liu Biao²,Zhou Yijie¹,Gou Bin³

Affiliation:

1. China Academy of Railway Sciences Corporation Limited,State Key Laboratory for Traction and Control System of EMU and Locomotive,Beijing,China

2. Tangshan Institute of Southwest Jiaotong University Southwest Jiaotong University,Chengdu,China

3. Southwest Jiaotong University,School of Electrical Engineering,Chengdu,China

Funder

China Academy of Railway Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10241359/10241362/10241484.pdf?arnumber=10241484

Reference9 articles.

1. Inter-Turn Fault Diagnosis of Induction Motor Fed by PCC-VSI Using Park Vector Approach

2. DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

3. Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach

4. The correlation analysis of PM inter-turn fault based on stator current and vibration signal

5. Stator Short-Circuit Diagnosis in Induction Motors Using Mutual Information and Intelligent Systems

Cited by 1 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. Fault Diagnosis Expert System for Medium Voltage Three-Phase Asynchronous Motors Based on Fuzzy Neural Nets;Lecture Notes in Electrical Engineering;2024

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