An adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis
Wrocław University of Science and Technology · AGH University of Krakow · +4 more institutions
Indexed inarxivcrossref
Abstract
No abstract available for this paper.
Citation impact
106
total citations
- FWCI
- 32.03
- Percentile
- 100%
- References
- 41
Citations per year
Authors
6- SCSumika Chauhan
Wrocław University of Science and Technology, AGH University of Krakow
- GVGovind VashishthaCorresponding
Wrocław University of Science and Technology, AGH University of Krakow
- RKRajesh Kumar
Sant Longowal Institute of Engineering and Technology
- RZRadosław Zimroz
Wrocław University of Science and Technology, AGH University of Krakow
- MKMunish Kumar Gupta
Opole University of Technology, Graphic Era University
Topics & keywords
Topics
Keywords
- Entropy (arrow of time)
- Bearing (navigation)
- Pattern recognition (psychology)
- Energy (signal processing)
- Computer science
- Fault (geology)
- Feature (linguistics)
- Range (aeronautics)
UN Sustainable Development Goals
- Affordable and clean energy
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