A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
Harbin Institute of Technology
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
1,320
total citations
- FWCI
- 71.82
- Percentile
- 100%
- References
- 41
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Computer science
- Artificial intelligence
- Preprocessor
- Fault (geology)
- Noise (video)
- Adaptation (eye)
- Convolutional neural network
- Deep learning
No related works found for this paper.