Yimeng Long, Zhaowei Shang, Lingzhi Zhao. Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI. Volume 1793 of Communications in Computer and Information Science, pages 249-263, Springer, 2022. [doi]
@inproceedings{LongSZ22-1,
title = {Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions},
author = {Yimeng Long and Zhaowei Shang and Lingzhi Zhao},
year = {2022},
doi = {10.1007/978-981-99-1645-0_21},
url = {https://doi.org/10.1007/978-981-99-1645-0_21},
researchr = {https://researchr.org/publication/LongSZ22-1},
cites = {0},
citedby = {0},
pages = {249-263},
booktitle = {Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI},
editor = {Mohammad Tanveer 0001 and Sonali Agarwal and Seiichi Ozawa and Asif Ekbal and Adam Jatowt},
volume = {1793},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-99-1645-0},
}