TY - GEN
T1 - Construction of optimal dual-tree complex wavelet for bonding quality detection of explosive composite structure
AU - Si, Yue
AU - Zhang, Zhousuo
AU - Yuan, Feichen
AU - Wang, Hongfang
AU - Liu, Qiang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/22
Y1 - 2016/7/22
N2 - This paper investigates the construction method of optimal dual-tree complex wavelet (ODTCW), to extract the desired mode feature signal from the vibration signal without mode aliasing. Dual-tree complex wavelet with attractive properties such as shift invariance and reduced spectral aliasing may provide a possibility to extract the desired features from vibration signal. However, the fixed basis functions independent of the analyzed signal may weaken the advantage of the method and even decrease the accuracy of detection result. To overcome this deficiency, the proposed construction method starts with the design of approximate hilbert transform pairs of wavelet bases, by means of changing the parameters of vanishing moment K and the degree of approximation to the half-sample delay L, a set of wavelet basis functions with different frequency characteristic obtained. Based on the analyzed signal, by the rule of the crest maximum principle to search for optimal dual-tree complex wavelet basis functions which best match the analyzed signal. The ODTCW is combined with time entropy to detect bonding quality of explosive composite pipes and the results demonstrate its superiority.
AB - This paper investigates the construction method of optimal dual-tree complex wavelet (ODTCW), to extract the desired mode feature signal from the vibration signal without mode aliasing. Dual-tree complex wavelet with attractive properties such as shift invariance and reduced spectral aliasing may provide a possibility to extract the desired features from vibration signal. However, the fixed basis functions independent of the analyzed signal may weaken the advantage of the method and even decrease the accuracy of detection result. To overcome this deficiency, the proposed construction method starts with the design of approximate hilbert transform pairs of wavelet bases, by means of changing the parameters of vanishing moment K and the degree of approximation to the half-sample delay L, a set of wavelet basis functions with different frequency characteristic obtained. Based on the analyzed signal, by the rule of the crest maximum principle to search for optimal dual-tree complex wavelet basis functions which best match the analyzed signal. The ODTCW is combined with time entropy to detect bonding quality of explosive composite pipes and the results demonstrate its superiority.
KW - Bonding quality detection
KW - approximate Hilbert transform pairs
KW - explosive composite structure
KW - optimal dual-tree complex wavelet
UR - https://www.scopus.com/pages/publications/84980370594
U2 - 10.1109/I2MTC.2016.7520598
DO - 10.1109/I2MTC.2016.7520598
M3 - 会议稿件
AN - SCOPUS:84980370594
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016
Y2 - 23 May 2016 through 26 May 2016
ER -