Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals-Reference-Cited by-同舟云学术

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Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals

Published:2015-07-01 Issue:4 Volume:10 Page:1558-1565
ISSN:1975-0102
Container-title:Journal of Electrical Engineering and Technology
language:en
Short-container-title:Journal of Electrical Engineering and Technology

Author:

Hwang Don-Ha,Youn Young-Woo,Sun Jong-Ho,Choi Kyeong-Ho,Lee Jong-Ho,Kim Yong-Hwa

Publisher

The Korean Institute of Electrical Engineers

Subject

Electrical and Electronic Engineering

Link

http://ocean.kisti.re.kr/downfile/crosscheck/kiee/JAKO201525961696086.pdf

Cited by 29 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. Application of Artificial Intelligence-Based Technique in Electric Motors: A Review;IEEE Transactions on Power Electronics;2024-10

2. Transformer fault acoustic identification model based on acoustic denoising and DBO-SVM;Journal of Electrical Engineering & Technology;2024-08

3. TFFNet: A robust approach with anti-noise and domain shift adaptation for intelligent fault diagnosis of rotating machinery;Journal of Vibration and Control;2024-02-18

4. Realistic Condition-Based Anomaly Detection of Multi-Faults in Rotating Machines;2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET);2023-08-09

5. Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network;Measurement Science and Technology;2023-01-04

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