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The Method of Accurate Sound Source Localization for the Engine Abnormal Noise

  • Jincai YangEmail author
  • Zhangsong Zhan
  • Hanjie Liu
  • Liang Zhang
  • Lingfeng Qian
  • Yanping Ding
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 201)

Abstract

The multi-source information fusion method with three kinds of signals is given in this paper to identify engine sound sources. The three signals are the wavelet analysis result of engine sound and vibration, the crankshaft rotating angle and the camshaft phase, using these signals can accurately make sure the vibration and noise state of the moving parts of the engine at a certain state. As a result of the limitations of normal continuous wavelet transform (CWT) arithmetic, a frequency correction algorithm of wavelet analysis and an A-Weighted correction algorithm of wavelet analysis are put forward. Thus, the correction wavelet coefficients are more suitable for the sound identification in actual engineering application. An engineering case is studied in this paper and a good identification result is obtained.

Keywords

Multi-source information fusion Engine impact noise Wavelet analysis Sound source identification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jincai Yang
    • 1
    • 2
    Email author
  • Zhangsong Zhan
    • 1
  • Hanjie Liu
    • 1
    • 2
  • Liang Zhang
    • 1
    • 2
  • Lingfeng Qian
    • 1
    • 2
  • Yanping Ding
    • 1
    • 2
  1. 1.Powertrain Global R&D Center in Changan Automobile Co. LtdMainlandChina
  2. 2.State Key Laboratory of Vehicle NVH and Safety TechnologyChongqiChina

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