Ultrasonic Nondestructive Signals Processing Based on Matching Pursuit with Gabor Dictionary

作     者：GUO Jinku WU Jinying YANG Xiaojun LIU Guangbin 

作者机构：Xi＇an Research Institute of High Technology Hongqing Town Xi＇an 710025 China Department of Automation Tsinghua University Beijing 100084 China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2011年第24卷第4期

页      面：591-595页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 

基　　金：supported by National Natural Science Foundation of China (Grant No. 60672108  Grant No. 60372020) 

主　　题：ultrasonic signal processing sparse representation matching pursuit Gabor dictionary 

摘      要：The success of ultrasonic nondestructive testing technology depends not only on the generation and measurement of the desired waveform, but also on the signal processing of the measured waves. The traditional time-domain methods have been partly successful in identifying small cracks, but not so successful in estimating crack size, especially in strong backscattering noise. Sparse signal representation can provide sparse information that represents the signal time-frequency signature, which can also be used in processing ultrasonic nondestructive signals. A novel ultrasonic nondestructive signal processing algorithm based on signal sparse representation is proposed. In order to suppress noise, matching pursuit algorithm with Gabor dictionary is selected as the signal decomposition method. Precise echoes information, such as crack location and size, can be estimated by quantitative analysis with Gabor atom. To verify the performance, the proposed algorithm is applied to computer simulation signal and experimental ultrasonic signals which represent multiple backscattered echoes from a thin metal plate with artificial holes. The results show that this algorithm not only has an excellent performance even when dealing with signals in the presence of strong noise, but also is successful in estimating crack location and size. Moreover, the algorithm can be applied to data compression of ultrasonic nondestructive signal.