Abstract
Rolling element bearings are widely used in almost all complex engineering structures. Failure of bearings could lead to a failure of the whole structure. Therefore, early damage diagnosis of bearings is of great importance for the structural integrity of the complex engineering structures. The novel nonlinear non-stationary wavelet bicoherence technology is applied for the first time in worldwide terms for rolling bearing condition monitoring.High effectiveness of early bearing diagnostics by the technology has been experimentally revealed, which has been further substantiated using the Fisher criterion.
| Original language | English |
|---|---|
| Pages (from-to) | 514-520 |
| Number of pages | 7 |
| Journal | Engineering Structures |
| Volume | 80 |
| Early online date | 19 Oct 2014 |
| DOIs | |
| Publication status | Published - 1 Dec 2014 |
| Externally published | Yes |
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Len Gelman
- Department of Engineering - Professor and Chair in Signal Processing and Condition Monitoring
- School of Computing and Engineering
- Centre for Efficiency and Performance Engineering - Director
Person: Academic