Fault Coding Inspired Agile Diagnosis for Traction Motor System with Improved GWO-SVM Model-Reference-Cited by-同舟云学术

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Fault Coding Inspired Agile Diagnosis for Traction Motor System with Improved GWO-SVM Model

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Electrical and Energy Conference (CIEEC)
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Author:

Zhang Kunpeng¹,Li Hao¹,Yu Yinquan²,Jiang Bin³,An Chunlan¹

Affiliation:

1. School of Electrical and Automation Engineering, East China Jiaotong University,Nanchang,China,330013

2. School of Mechatronics and Vehicle Engineering, East China Jiaotong University,Nanchang,China,330013

3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing,China,210016

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165685/10164836/10166415.pdf?arnumber=10166415

Reference13 articles.

1. Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives

2. Incline Unbalanced Magnetic Pull Induced by Misalignment Rotor in PMSM

3. Method for predicting cutter remaining life based on multi-scale cyclic convolutional network

4. Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis

5. Online Diagnostic Method for the Detection of High-Resistance Connections and Open-Phase Faults in Six-Phase PMSM Drives

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