期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：9
页码：211-220
出版社：SERSC
摘要：A sound source localization method is presented herein aroundthe utilizationwiththe sound signal for device fault diagnosis. Firstly, Butterworth wavelet and its filter banks were designed aimed at the background noise separation in the industrial environment, it is proved that the Butterworth wavelet filter can extract the weak fault features in source signals without frequency aliasing phenomenon. Then the algorithms of sound source localization was studied in depth, the generalized cross-correlation(GCC) based time delay estimation(TDE) was presented. Finally the coordinates of sound source location was obtained in the quaternion microphone array model. The experiment results show that in the industrial environment, the error value of positioning accuracy is less than 4cm within anappropriate distance, it can meet the needs of practical application, meanwhile the reliability and the real-time performance is satisfactory.
