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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Zhen, Dong; Gu, Fengshou; Ball, Andrew (2010)
Publisher: University of Huddersfield
Languages: English
Types: Part of book or chapter of book
Subjects: TJ, T1
The aim of this research is to investigate microphone array techniques based condition monitoring (CM). In this paper, a cost effective microphone array configured with 4-sensors and data acquisition systems is investigated theoretically and experimentally to evaluate its performance in characterising sound sources in different acoustic environments. Time delay estimation (TDE) is used as a basic tool for calculating the time delay of the sound source arrived at each of the 4-sensors and hence the\ud localization parameters of the sound source such as azimuth, elevation and distance can be\ud calculated from the TDE information. Results are presented for experimental studies both in a semianechoic chamber, an outdoor environment and an enclosure. Comparing the results obtained under\ud different conditions, it has confirmed that the microphone array system can catch the location of the main sound source and also has ability to track and give the azimuthal trajectory of a moving target with high degree of accuracy.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. J.J.Christensen and J. Hald (2004). "Beamforming-Technical Review." Brüel & Kjaer Sound & Vibration Measurement A/S.
    • 2. Chen, J., L. Shue, and W. Ser, A new approach for speaker tracking in reverberant environment. Signal Processing, 2002. 82(7): p. 1023-1028.
    • 3. Castellini, P. and A. Sassaroli, Acoustic source localization in a reverberant environment by average beamforming. Mechanical Systems and Signal Processing, 2010. 24(3): p. 796-808.
    • 4. F. Gu, W. Li, A. D. Ball and A. Y. T. Leung, “The Condition Monitoring of Diesel Engines using Acoustic Measurements--Part 1: Acoustic Modeling of the Engine and Representation of the Acoustic Characteristics”. ”, SAE Technical Paper Series 2000-01-0730, 2000.
    • 5. A. D. Ball F. Gu, and W. Li, “The Condition Monitoring of Diesel Engines using Acoustic Measurements--Part 2: Fault Detection and Diagnosis”, SAE Technical Paper Series 2000-01- 0368, 2000.
    • 6. Li, W., Gu, F. and Ball, A.D., A Study of the Noise from Diesel Engines Using Independent Component Analysis, Mechanical Systems and Signal Processing, Vol.15, No. 6, pp.1165-1184, 2001.
    • 7. B. Payne, A.D. Ball, F. Gu and W. Li , (Invited Paper) A Head-to-head Assessment of the Relative Fault Detection and Diagnosis Capabilities of Conventional Vibration and Airborne Acoustic Monitoring, COMADEM 2000, Texas, USA, pp 233-242, 2000.
    • 8. Albarbar, A., Gennish, R.; Gu, F.; Ball, A. Lubricating oil condition monitoring using vibration and air-borne acoustic measurements, Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis - 2004, v 3, Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis - 2004, 2004, p 205-209.
    • 9. S. A. Al-Hashmi, S. Al-Hashmi, F. Gu, A.D. Ball, T. Fen, and K. , “A Comparison of the Cavitation Monitoring of a Centrifugal Pump Using Vibration and Acoustic Methods”, Proceedings of the 17th International Congress on Condition Monitoring and Diagnostic Engineering Management, 2004, Cambridge UK August 2004.
    • 10. A. Albarbar, F. Gu, A.D. Ball, R. Gennish, M, Ali, G. Harris, Diesel Engine Injector Condition Monitoring Using Air-borne Acoustics Measurements, Proceedings of 18th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2005), pp 143-152, Cranfield University, U.K.
    • 11. Krim, H. and M. Viberg (JULY 1996). "Two Decades of Array Signal Processing Research." IEEE SIGNAL PROCESSING MAGAZINE: 67-94.
    • 12. Knapp, C. and G. Carter, The generalized correlation method for estimation of time delay. Acoustics, Speech and Signal Processing, IEEE Transactions on, 1976. 24(4): p. 320-327.
    • 13. Azaria, M. and D. Hertz, Time delay estimation by generalized cross correlation methods. Acoustics, Speech and Signal Processing, IEEE Transactions on, 1984. 32(2): p. 280-285.
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