Abstract
In the purpose of achieving composite structure damage identification and localization of structural health monitoring, a denoising algorithm of redundant second-generation wavelet transform considering neighboring coefficients is selected as the best solution from 18 denoising schemes performed in this paper. Through introducing fractal dimension as a damage-sensitive feature and adopting the probabilistic reconstruction algorithm, the damage status on the composite panel could be identified and located as tomography maps. The practicability of the presented approach is validated in the experiment operating in the composite damage monitoring system.
| Original language | English |
|---|---|
| Article number | 6353574 |
| Pages (from-to) | 1354-1363 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 62 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2013 |
Keywords
- Composite
- Lamb wave
- fractal dimension (FD)
- redundant second-generation wavelet transform (RSGWT)
- structural health monitoring (SHM)
- tomography algorithm