Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor-Reference-Cited by-同舟云学术

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Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
language:
Short-container-title:

Author:

Choudhary Anurag¹,Mian Tauheed²,Fatima Shahab²,Panigrahi B. K.³

Affiliation:

1. School of Interdisciplinary Research, Indian Institute of Technology Delhi,New Delhi,India

2. Indian Institute of Technology Delhi,Centre for Automotive Research and Tribology,New Delhi,India

3. Indian Institute of Technology Delhi,Electrical Engineering Department,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079845/10079940/10080274.pdf?arnumber=10080274

Reference35 articles.

1. Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning

2. Acoustic based fault diagnosis of three-phase induction motor;glowacz;Appl Acoust,2018

3. Passive Thermal Imaging-based Fault Detection in Induction Motor Under Varying Speed Conditions

4. Fault diagnosis of single-phase induction motor based on acoustic signals

5. Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis

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. A Variable Speed Fault Detection Approach for Electric Motors in EV Applications based on STFT and RegNet;2023 IEEE Transportation Electrification Conference & Expo (ITEC);2023-06-21

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