Study on Signal Denoising in Casting Ultrasonic Testing Based on Translation Invariant
Interference noising originating from the ultrasonic testing defect signal seriously influences the accuracy of the signal extraction and defect location. A method based on the translation invariant discrete wavelet transform (TIDWT) wavelet shrinkage was proposed for signal extraction according to the characteristics of the casting defect ultrasonic signal. Both simulated and actual steel defect signals were tested. The results were compared with those of the traditional wavelet shrinkage estimate algorithm. The experiments show that Pesudo-Gibbs phenomenon can be suppressed efficiently. RMSE between the original signal and estimated one can be minished, SNR of estimated signal can also be improved. It is proved by the experiment that this method can denoise more effectively; the signal quality and performance parameters obtained by TIDWT is improved obviously
ultrasonic signal shrinkage estimator translation invariance wavelet denoising
Ailing QI Hongwei MA Tao LIU
Department of Computer Science,Xian University of Science and Technology, Xian, China2 School of M School of Mechanical Engineering,Xian University of Science and Technology, Xian, China Safe Technology Institute,Xian University of Science and Technology, Xian, China
国际会议
第十七届世界无损检测会议(17th World Conference on Nondestructive Testing)
上海
英文
1208-1214
2008-10-25（万方平台首次上网日期，不代表论文的发表时间）