Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ye, Ruida"'
Autor:
Ye, Ruida1 (AUTHOR) yerd0103@imu.wiki, Ren, Yuan2 (AUTHOR) renyuan_823@imu.wiki, Zhu, Xiangyang1 (AUTHOR) zhuxiangyang@imu.wiki, Wang, Yujing2 (AUTHOR), Liu, Mingyue1 (AUTHOR) liumy@imu.wiki, Wang, Lifen1 (AUTHOR) lifen_wang@imu.wiki
Publikováno v:
Remote Sensing. Nov2023, Vol. 15 Issue 22, p5278. 18p.
Autor:
Ye, Ruida1 (AUTHOR) yerd0103@aliyun.com, Wang, Lifen1 (AUTHOR) wanglifen_2009@139.com, Ren, Yuan2 (AUTHOR) renyuan_823@aliyun.com, Wang, Yujing2 (AUTHOR), Chen, Xiaocen3 (AUTHOR) xiaocen_88@sina.cn, Liu, Yufei1 (AUTHOR) faye_liu@aliyun.com
Publikováno v:
Sensors (14248220). Oct2023, Vol. 23 Issue 20, p8633. 19p.
Autor:
Subramaniam, Kannimuthu, Wang, YuJing, Ye, RuiDa, Zhang, Tian, Zhao, Yue, Zhou, ShengHua, Wang, ZhiTao
Publikováno v:
Proceedings of SPIE; March 2023, Vol. 12593 Issue: 1 p125930S-125930S-6, 1133377p
Publikováno v:
2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT.
In view of the deficiency in traditional bearing fault diagnosis which depended on manual diagnosis and mechanical theory, the deep learning fault detection method based on bearing fault data-driven was studied. By analyzing the advantages and disadv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e016119927daab2a64656ace2112ab9c
https://doi.org/10.1109/iccasit50869.2020.9368683
https://doi.org/10.1109/iccasit50869.2020.9368683
Akademický článek
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Autor:
Cen, Fengjie, Verma, Sahil, Rajathi, N., Song, Jiang, Zhai, Xuerui, Ye, Ruida, Hu, Bo, Shao, Zhengpeng, Wu, Hao, Luo, Nanhang
Publikováno v:
Proceedings of SPIE; December 2021, Vol. 12087 Issue: 1 p120870Z-120870Z-7, 1087838p
Publikováno v:
Proceedings of SPIE; 7/20/2023, Vol. 12593, p125930S-125930S-6, 1p
Publikováno v:
Proceedings of SPIE; 2/23/2022, Vol. 12087, p120870Z-120870Z-7, 1p