Low-Frequency Structure-Borne Noise Identification Based on FastICA-WPA Algorithm

Abstract

Low-frequency structure-borne noise in enclosed space is easy to produce booming sensation, which seriously affects the auditory comfort. But its sources are complex and the transmission path is strongly coupled, meanwhile it is difficult to be directly measured by experiments, so making identification difficult. To address the problem of decoupling multi-source mixed signals, this paper proposes a low-frequency structure-borne noise identification method based on FastICA-WPA algorithm. Using FastICA (Fast algorithm of Independent Component Analysis) algorithm to identify the structure-borne noise components in single-channel noise, then WPA (Wavelet Packet Analysis) method is applied to identify the low-frequency components of structure-borne noise. Finally decouple the contribution of low-frequency structure-borne noise. This method is applied to an intelligent excavator cab. The correctness of the method is verified by applying vibration signal correlation analysis. The identification algorithm lays the foundation for developing a low-frequency structure-borne noise control strategy.