Analysis of Acoustic Emission Signals using WaveletTransformation Technique

Defence Science Journal

B. Subramanyam¹  S.V. Subba Rao² 

[1] Sri Venkateswara University College of Engineering;Satish Dhawan Space Centre SHAR, ISRO

关键词: Acoustic emission;    wavelets;    wavelet transform;    discrete wavelet transformation;    continuouswavelet transformation;    coherence estimation function;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

Acoustic emission (AE) monitoring is carried out during proof pressure testing of pressurevessels to find the occurrence of any crack growth-related phenomenon. While carrying out AEmonitoring, it is often found that the background noise is very high. Along with the noise, thesignal includes various phenomena related to crack growth, rubbing of fasteners, leaks, etc. Dueto the presence of noise, it becomes difficult to identify signature of the original signals related to the above phenomenon. Through various filtering/ thresholding techniques, it was found that the original signals were getting filtered out along with noise. Wavelet transformation technique is found to be more appropriate to analyse the AE signals under such situations. Wavelet transformation technique is used to de-noise the AE data. The de-noised signal is classified to identify a signature based on the type of phenomena. Defence Science Journal, 2008, 58(4), pp.559-564 , DOI:http://dx.doi.org/10.14429/dsj.58.1677

【 授权许可】

Unknown