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Acoustic emission source locating in two‐layer plate using wavelet packet decomposition and wavelet‐based optimized residual complexity
Author(s) -
Mostafapour Amir,
Davoodi Saman
Publication year - 2018
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2048
Subject(s) - wavelet packet decomposition , acoustic emission , network packet , wavelet , residual , computer science , algorithm , gyroscope , acoustics , wavelet transform , physics , artificial intelligence , computer network , quantum mechanics
Summary Health monitoring based on acoustic emission principle needs precise time delay estimation in two‐layered plate‐type structures. In this paper, the theories of wavelet packet decomposition, wavelet‐based optimized residual complexity (WORC), and frequency‐varying velocities were used to acoustic emission source locating. A rectangular array of the four sensors was used to locate acoustic emission source. By wavelet packet decomposition, specific packets with frequency range of 0–250 kHz were selected for more signal processing. Then WORC of specific packets of captured signals was calculated as a similarity measure technique. The time delay was estimated when WORC function reached the minimum value. The group velocity was obtained using dispersive curves. The experiments were carried out, and the results of locating error showed the high precision of the proposed algorithm.