|
|
|
| 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 |
|
|
|
|
Abstract 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.
|
|
Received: 24 October 2016
Published: 28 March 2018
|
|
|
|
[1] 郑四发，郝鹏，李西朝等. 车外加速噪声的传递特性模型及声源识别[J]. 汽车工程，2010，32（05）：439-442.
Zheng Sifa, Hao Peng, Li Xizhao, et.al. Transfer characteristics model and noise sources identification for acceleration vehicle exterior noise [J]. Automotive Engineering, 2010, 32（05）：439-442.
[2] 陈心昭. 噪声源识别技术的进展[J]. 合肥工业大学学报(自然科学版)，2009，32（5）：609-614
Chen Xinzhao. Progress of techniques foe noise source identification [J]. Journal of Hefei university technology, 2009, 32（5）：609-614
[3] Panza M A. A Review of Experimental Techniques for NVH Analysis on a Commercial Vehicle[J]. Energy Procedia, 2015, 82: 1017-1023.
[4] 黄海波，李人宪，丁渭平等. 基于EMD-WVD的车辆悬架减振器异响声品质客观评价研究[J]. 振动与冲击，2015，34（18）：154-160.
Haung Haibo, Li Renxian, Ding Weiping, et.al. Research on the objective sound quality of vehicle suspension shock absorber abnormal noise based on EMD-WVD [J]. Journal of Vibration and Shock, 2015, 18: 154-160.
[5] 赵骞，石月奎，孙悦. 十字万向节传动轴激励导致的汽车振动噪声研究[J]. 机械传动，2011，35（10）：70-76.
Zhao Qian, Shi Yuekui, Sun Yue. Study on automobile noise and vibration of causing by transmission shaft with cross-type universal joint [J]. Mechanical transmission, 2011, 35（10）：70-76.
[6] 胡伊贤，李舜酩，张袁元等. 车辆噪声源识别方法综述[J]. 噪声与振动控制，2012，05：11-15+20.
Hu Yixian, Li Shunming, Zhang Yuanyuan, et.al. Reviews of vehicle noise source identification methods [J]. Control of noise and vibration, 2012, 05：11-15+20.
[7] 张立军，靳晓雄，周宏等. 轿车车内噪声源识别的道路试验方法[J]. 汽车工程，2002，04：297-301.
Zhang Lijun，Jin Xiaoxiong, Zhou Hong, et.al. Car interior noise source identification by road test [J]. Automotive Engineering, 2002，04：297-301.
[8] 严刚，夏顺礼，张欢欢等. 某纯电动汽车车内噪声试验分析与识别[J]. 合肥工业大学学报(自然科学版)，2011，34（09）：1298-1301+1384.
Yan gang, Xia Shunli, Zhang huanhuan, et.al. Test analysis and identification of noise inside a pure electric vehicle [J]. Journal of Hefei university technology, 2011, 34（09）：1298-1301+1384.
[9] 贾继德，陈剑，汪时武. 基于Morlet小波相干分析的汽车声源识别[J]. 农业机械学报，2008，07：194-196+210.
Jia Jide, Chen Jian, Wang Shiwu. Identification of vehicle passby noise source based on wavelet coherence [J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 07：194-196+210.
[10] 褚志刚，杨洋，王卫东等. 基于波束形成方法的货车车外加速噪声声源识别[J]. 振动与击，2012，31（07:）：66-70.
Chu Zhigang, Yang Yang, Wang Weidong, et.al. Identification of truck noise sources under passby condition based on wave beamforming method [J]. Journal of vibration and shock, 2012, 31（07:）：66-70.
[11] Torrence C, Compo G P. A practical guide to wavelet analysis [J]. Bulletin of the American Meteorological society, 1998, 79(1): 61-78.
[12] Y. Wang, G. Xu, L. Liang, et.al, Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis. Mechanical Systems and Signal Processing 2015, 54: 259-276.
[13] Torrence C, Webster P J. Interdecadal changes in the ENSO-monsoon system [J]. Journal of Climate, 1999, 12(8): 2679-2690.
[14] Hester D, González A. A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle [J]. Mechanical Systems and Signal Processing, 2012, 28: 145-166.
[15] Xiao P, Yang K. Temporal Coherence of Acoustic Signal Transmissions in a Fluctuating Deep Ocean [J]. Journal of Computational Acoustics, 2016, 16: 50-60.
[16] 胡成太，高云凯，刘爽等. 基于频谱和相干分析的挖掘机噪声识别与控制[J]. 振动.测试与诊断，2013，33（06）：1032-1038+1097.
Hu Chentai, Gao Yunkai, Liu Shuang, et.al. Noise identify and control in excavator based on frequency spectral analysis and coherence analysis [J]. Journal of vibration, measurement and diagnosis, 2013, 33（06）：1032-1038+1097.
[17] Grinsted A, Jevrejeva S, Moore J. Influence of the Arctic Oscillation and ENSO on ice conditions in the Baltic Sea: the wavelet approach [C] //EGS-AGU-EUG Joint Assembly. 2003, 1: 2786.
|
|
|
|
