Deep Residual Shrinkage Networks for Fault Diagnosis
This article develops new deep learning methods, namely, deep residual shrinkage networks, to improve the feature learning ability from highly noised vibration signals and achie...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 1,224
- Institution
- Harbin Institute of Technology
External Links
Identifiers
- ORCID
- 0000-0003-2827-3927
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.