Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Butterworth-wavelet Filter Banks
 3. The Generalized Cross-correlation Based Time Delay Estimation
 4. Coordinates Calculation of Sound Source Position
 5. Experimental Testing and Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Liang Zhang [ School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China, School of Mechanical Engineering, Jiujiang Vocational and Technology College, Jiujiang, 332000, China ]
• Tiejun Li [ School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China ] Corresponding author
• Yinxue Zong [ School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China ]
• Yang Tan [ School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605