Development of a robust wavelet divergence-based framework for health monitoring and remaining useful life estimation of gearbox
Gears are one of the critical components in industrial machinery and operate under high loads for most of their Life. Health indicators (HI) such as root mean square (RMS), kurtosis, etc., often fail to reflect degradation consistently and, therefore, erroneously predict remaining useful Life (RUL)....
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| Main Authors: | Anil Kumar, Jianlong Wang, Chander Parkash, Vikas Sharma, Hesheng Tang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025024442 |
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