Abnormal Noise Diagnosis of Internal Combustion Engine Using Wavelet Spatial Correlation Filter and Symmetrized Dot Pattern
In order to identify engine status correctly, a novel method of abnormal noise diagnosis of internal combustion engine based on the wavelet spatial correlation filter (WSCF) and symmetrized dot pattern (SDP) is proposed. Firstly, the gathered acoustic signals are processed by wavelet spatial correlation filter in order to improve the SNR (signal-to-noise ratio); then, the filtered signals are transformed into spatial polar coordinates through SDP method. The experimental results demonstrate that the proposed methods are good classifiers and it can diagnose abnormal sound of engine accurately.
Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang
C. Yang and T. Feng, "Abnormal Noise Diagnosis of Internal Combustion Engine Using Wavelet Spatial Correlation Filter and Symmetrized Dot Pattern", Applied Mechanics and Materials, Vol. 141, pp. 168-173, 2012