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Research on Sound Source Localization for Device Fault Diagnosis
Liang Zhang,Tiejun Li,Yinxue Zong,Yang Tan 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.9
A sound source localization method is presented herein around the utilization with the 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 an appropriate distance, it can meet the needs of practical application, meanwhile the reliability and the real-time performance is satisfactory.
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