Analysis of Ultrasonic Phased Array Signals Detected in CFRP
- DOI
- 10.2991/meic-14.2014.334How to use a DOI?
- Keywords
- ultrasonic phased array; nondestructive testing; carbon fiber reinforced plastic; signal processing; wavelet packet analysis
- Abstract
Carbon Fiber Reinforced Plastic (CFRP) is an important material to make aircraft structure components. However, damage detection is very crucial to aircraft safety and the type of a detected defect is difficult to distinguish. Ultrasonic phased array (UPA) technology provides a possible solution. In this paper, characteristics of different defect signals and were studied in the frequency domain based on the wavelet packet analysis. Firstly, the principle of wavelet packet analysis is introduced. Secondly, a selection method of optimal wavelet on the basis of energy is proposed. The energy values of 41 wavelets are computed, and three kinds of wavelet basis are selected to extract the information entropy of the wavelet energy spectrum. Finally, a CFRP test block with four types of man-made defects is experimented. A-scan signals are collected by an UPA instrument. Information entropies are calculated and compared. From analysis, it can be seen that different types of defects can be differentiated by the corresponding entropy values. In addition, the entropy has high stability. In conclusion, information entropy can be used as an eigenvalue of UPA signals efficiently. This approach has laid the foundation for future research work.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xianglin Zhan AU - Yujie Cai AU - Tao Liu PY - 2014/11 DA - 2014/11 TI - Analysis of Ultrasonic Phased Array Signals Detected in CFRP BT - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 1483 EP - 1486 SN - 2352-5401 UR - https://doi.org/10.2991/meic-14.2014.334 DO - 10.2991/meic-14.2014.334 ID - Zhan2014/11 ER -