Discrete wavelet analysis of acoustic emissions - identification of CFR composite failure modes
- Texas Tech Univ., Lubbock, TX (United States)
The discrete wavelet transform is applied to the analysis of acoustic emission (AE) signals collected through static loading of unidirectional and cross-ply carbon fiber reinforced (CFR) composite specimen. Using this technique, the AE signals are decomposed to various wavelet levels (eleven in all) in the time-frequency domain. A general trend is observed by investigating the energy distribution of decomposed AE signals. This trend indicates that the energy in the AE signals are dominated by three levels with their representative frequency range and energy magnitude. The analysis indicates that the information in the three dominant wavelet levels may be related to various failure modes in CFR composites. In this paper, the results indicate that wavelets-based signal processing may be a strong tool in the analysis of acoustic emissions.
- OSTI ID:
- 563620
- Report Number(s):
- CONF-9606176--
- Country of Publication:
- United States
- Language:
- English
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