Identification of Cabin Noise Source Based on Wavelet Transform

Wei Huang; Liang Hou; Rong Shen Lai; Sen Quan Lin

doi:10.4028/www.scientific.net/AMR.479-481.1345

Paper Titles

Lathe Modal Parameters’ Identification and Verification Based on the GLOBAL Method
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Sound–Structure Coupling Analysis of Multi-Flexible Plates Enclosure
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Feature Extraction of AE Signal in Offshore Platform Tubular Joints Crack Propagation Based on Wavelet Coefficient Energy Theory
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On the Reasons for the Ventilator Bearing Noise and its Control
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Identification of Cabin Noise Source Based on Wavelet Transform
p.1345

A Mistuning Sensitivity Suppression Method of Bladed Disk
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Research on the Decoupling Control Algorithm of Full Vehicle Semi-Active Suspension
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Fault Diagnosis of Bearing Based on the Ultrasonic Amplitude Histogram
p.1361

The Numerical Simulation for Vibroacoustic Phenomena of a Slender Elastic Shell
p.1365

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Identification of Cabin Noise Source Based on Wavelet Transform

Abstract:

In order to solve the problem of error and abstract in the identification process caused by current wavelet methods using grayscale to identify noise sources, a cabin noise source identification method based on wavelet transform(WT) was proposed. Firstly, multi-wavelet reconstruction signals were constructed from original time-domain signals through Matlab Wavelet Toolbox. Secondly, the eigenvectors were defined by calculating the energy value of reconstructed signals at all levels. And the correlation coefficients between cabin noise signal and other signals were obtained by these eigenvectors. Then the extent of vibration or noise energy radiation influence on the cabin noise was estimated by the size of correlation coefficients. Finally, an example was also given to show the effectiveness of the method.