ICME belongs to CCF-B.
[Unofficial] [pytorch] the implementation of "A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling."
official code ---tensorflow version （Thanks to Dr. Zheng for the open source code）
- ReadData_2.py : Channel fusion and periodic sampling.
- model_2_view.py : the code of training and testing, and it provides functions to evaluate the performance changes under different stripe and sample length.
@inproceedings{DBLP:conf/icmcs/Zheng0Z022,
author = {Jianbo Zheng and
Chao Yang and
Fangrong Zheng and
Bin Jiang},
title = {A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and
Periodic Sampling},
booktitle = {{IEEE} International Conference on Multimedia and Expo, {ICME} 2022,
Taipei, Taiwan, July 18-22, 2022},
pages = {1--6},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/ICME52920.2022.9859658},
doi = {10.1109/ICME52920.2022.9859658},
timestamp = {Wed, 31 Aug 2022 11:49:15 +0200},
biburl = {https://dblp.org/rec/conf/icmcs/Zheng0Z022.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}