Vehicle Interior Noise Source Identification based on wavelet partial-coherence analysis
HUANG Hai-bo1, LI Ren-xian1, DING Wei-ping1, YANG Ming-liang1, CHEN Zhi-jun2
1. College of Mechanical and Engineering, Southwest Jiaotong University, Chengdu 610031, China;
2. Chongqing Vocational College of Electronic Engineering, Chongqing 401331, China
To quickly and accurately identify complicated and multi-correlated vehicle interior noise sources, a noise source identification method based on wavelet partial-coherence analysis was proposed. The approach was performed through the continuous complex wavelet transformation and the time-frequency partial-coherence analysis to get time-frequency partial coherence functions of noise source’s measured point and receiver measured point, and relations between them and transient phase. This was illustrated with simulated signals. The proposed method was utilized to identify an abnormal noise source in a vehicle, and then to improve the sound quality of interior noise with identified results. The results showed that the interior abnormal noise source is induced due to the engine exciting the front sub-frame to cause vibration and noise of the connecting point between the sub-frame and car body; through optimizing the connecting point rubber bushes, the subjective and objective evaluations of vehicle interior sound quality are improved evidently, the effectiveness of the proposed noise source identification method is verfied.
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