Convolutional neural network based on attention mechanism and Bi-LSTM for bearing remaining life prediction.
- Resource Type
- Article
- Authors
- Luo, Jiahang; Zhang, Xu
- Source
- Applied Intelligence; Jan2022, Vol. 52 Issue 1, p1076-1091, 16p
- Subject
- CONVOLUTIONAL neural networks
DEEP learning
FEATURE extraction
FEATURE selection
SHORT-term memory
FATIGUE life
- Language
- ISSN
- 0924669X
Copyright of Applied Intelligence is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)