TFARNet: A novel dynamic adaptive time-frequency attention residual network for rotating machinery intelligent health prediction
Crossref DOI link: https://doi.org/10.1007/s12206-024-0802-9
Published Online: 2024-09-04
Published Print: 2024-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Song, Lin
Wu, Jun
Wang, Liping
Liang, Jianhong
Chen, Guo
Wan, Liming
Zhou, Dan
Text and Data Mining valid from 2024-09-01
Version of Record valid from 2024-09-01
Article History
Received: 9 November 2023
Revised: 16 April 2024
Accepted: 16 May 2024
First Online: 4 September 2024