Abstract
The new second and higher order spectral technique, the cross-covariance of complex spectral components, is proposed for monitoring damage of structure and machinery Normalization of the proposed technique is also developed. It is shown by simulation that the proposed technique provides effectiveness gain for detecting of damage compared to the higher order spectra.
| Original language | English |
|---|---|
| Article number | 007 |
| Number of pages | 6 |
| Journal | International Journal of Prognostics and Health Management |
| Volume | 5 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 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