Bearing Fault Detection in Induction Machine Based on Stator Current Spectrum Monitoring-Reference-Cited by-同舟云学术

Bearing Fault Detection in Induction Machine Based on Stator Current Spectrum Monitoring

Published:2018-05-01 Issue:3 Volume:7 Page:282-288
ISSN:2187-1094
Container-title:IEEJ Journal of Industry Applications
language:en
Short-container-title:IEEJ Journal IA

Author:

Kanemaru Makoto¹,Tsukima Mitsuru²,Miyauchi Toshihiko³,Hayashi Kazufumi³

Affiliation:

1. Advanced Technology R&D Center, Mitsubishi Electric Corp.

2. Osaka Electro-Communication University

3. Power Distribution System Center, Mitsubishi Electric Corp.

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering

Link

https://www.jstage.jst.go.jp/article/ieejjia/7/3/7_282/_pdf

Reference20 articles.

1. (1) P. Zhang, Y. Du, T. G. Habetler, and B. Lu: “A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors”, IEEE Trans. on Industry Applications, Vol. 47, No. 1 (2011)

2. (2) T. Toyoda: “Procedure of diagnosis for rotary machine”, JIPM solution (2009) (in Japanese)

3. (3) R. R. Schoen, T. G. Habetler, F. Kamran, and R. G. Bartfield: “Motor bearing damage detection using stator current monitoring”, IEEE Trans. on Industry Applications, Vol. 32, pp. 1274-1279 (1995)

4. (4) R. R. Schoen and T. G. Habetler: “Effects of Time-Varying Loads on Rotor Fault Detection in Induction Machines”, IEEE Trans. on Industry Applications, Vol. 31, No. 4, pp. 900-906 (1995)

5. (5) L. Eren and M. J. Devaney: “Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current”, IEEE Trans. on Instrumentation and Measurement, Vol. 53, No. 2, pp. 431-436 (2004)

Cited by 16 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. Real-time detection of bearing faults through a hybrid WTMP analysis of frequency-related states;International Journal of Dynamics and Control;2024-07-06

2. Diagnostic of Induction Motor Eccentricity Defaults in Electrical Vehicles using SVM;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

3. Frequency bearing fault detection in non-stationary state operation of induction motors using hybrid approach based on wavelet transforms and pencil matrix;Electrical Engineering;2024-01-29

4. A Rolling Bearing Fault Diagnosis Method Based on the WOA-VMD and the GAT;Entropy;2023-06-01

5. Motor Current Signature Analysis for Detecting Local Defects on Rolling-Element Bearings of Induction Motors;Arabian Journal for Science and Engineering;2023-05-02