DocumentCode :
2814983
Title :
The application of time entropy of lift wavelet on ultrasonic signal detection
Author :
Yu, Enjun ; Zhao, Tingkai ; Ye, Qingwei
Author_Institution :
Sch. of Inf. Sci. & Eng., Zhejiang Univ., Ningbo, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
5354
Lastpage :
5357
Abstract :
T Ultrasonic signal detection is one kind of the non-destructive testing methods, and it can be non-destructive inspection of the internal defects of materials or mechanical components. One of the difficulties of ultrasonic signal detection is the detection of the echo signal in the ultrasonic signal. Firstly , the basic principle of lifting wavelet transform and the theory of integer lifting wavelet transform of ultrasonic signal is introduced in this paper. Then the wavelet-time entropy algorithm is introduced and the numerical simulations are carried out to prove the feasibility of this algorithm in abnormal signal detection. An improved wavelet-time entropy algorithm is put forward in this paper. The high-frequency coefficients of wavelet transform are replaced by the low-frequency coefficients, and the optimal width of window is worked out for actual ultrasonic signal. The results show that this improved wavelet-time entropy algorithm can effectively detect the echo signal in ultrasonic signal.
Keywords :
entropy; numerical analysis; ultrasonic materials testing; wavelet transforms; internal defects; lift wavelet transform; mechanical components; nondestructive testing; numerical simulation; ultrasonic echo signal detection; wavelet-time entropy algorithm; Acoustics; Entropy; Signal detection; Testing; Wavelet analysis; Wavelet transforms; Detection; Integer lifting wavelet; Ultrasonic signal; Wavelet transform; Wavelet-time entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
Type :
conf
DOI :
10.1109/MACE.2011.5988202
Filename :
5988202
Link To Document :
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