Title :
Analysis and study of noise elimination through wavelet in detection of acoustic emission
Author :
Jiang, Chang-Hong ; You, Wen ; Wang, Long-Shan
Abstract :
A software filtering method based on wavelet transformation is proposed in this paper, by means of which the detection of acoustic emission signal can be achieved under the high background noise. With this method, the multi-path interference can be eliminated and AE signal can be detected correctly. Moreover, this method can reject noise strongly, for which only a three-scale wavelet transformation of the signal received is needed, and carry out a two-scale wavelet transformation of the candidate wave detected. Also this method provides high calculation efficiency since the Mallat algorithm can be adopted.
Keywords :
acoustic emission; acoustic noise; acoustic signal detection; filtering theory; interference suppression; wavelet transforms; Mallat algorithm; acoustic emission; background noise; multipath interference; noise elimination; software filtering method; wavelet transformation; Acoustic emission; Acoustic noise; Acoustic signal detection; Continuous wavelet transforms; Filtering; Inspection; Interference; Signal processing; Smoothing methods; Wavelet analysis;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264492
