Fault detection in a ball bearing system using minimum variance cepstrum

Author:

Choi Young-Chul,Kim Yang-Hann

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Cited by 37 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. Data processing method for magnetotelluric sounding based on cepstral analysis;Frontiers in Earth Science;2023-10-18

2. A fault diagnosis algorithm of the dedicated equipment based on LSTM mechanism;2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE);2023-09-06

3. A Fault Diagnosis Algorithm for the Dedicated Equipment Based on the CNN-LSTM Mechanism;Energies;2023-07-07

4. Fault Detection in Ball Bearing through Machine Learning Models;2022 6th International Conference on Electronics, Communication and Aerospace Technology;2022-12-01

5. A Novel Feature Extraction Method for the Condition Monitoring of Bearings;Energies;2021-04-20

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