基于小波变换的非平稳排气噪声信号阶次分析方法

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Abstract Vehicle exhaust order noise extraction is of great significance for vehicle sound quality research and vehicle classification and recognition. In order to extract the time domain signal of exhaust order noise, a nonlinear refining analysis method with multi-resolution based on wavelet transform was proposed. The basis wavelet function was constructed by ideal band-pass transfer function. The local refinement analysis of signals was realized by translation and scaling of the basis wavelet function. The influence of the interception method of wavelet function on the spectrum leakage was explored. A proper window function was selected to intercept wavelet function, which was used to accurately extract the time domain signal of each order components through the correlation transform with the time domain noise signal. At last, the speed pulse signal and the exhaust noise signal under the accelerating condition were obtained by real vehicle test, and the analysis method of this work was verified. The results show that the analysis method proposed in this paper can accurately extract the order components in the non-stationary exhaust noise, thus providing a reliable and standard signal processing method for the order analysis of exhaust noise.

Key words： Non-stationary time-varying signals order basis wavelet function window function correlation transform

Received: 26 June 2018 Published: 15 November 2019

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	LIU Haitao

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LIU Haitao. Order Analysis of Non-stationary Exhaust Noise Signals based on Wavelet Transform[J]. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(22): 29-35.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I22/29

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