Paper Title:
Abnormal Noise Diagnosis of Internal Combustion Engine Using Wavelet Spatial Correlation Filter and Symmetrized Dot Pattern
  Abstract

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.

  Info
Periodical
Chapter
Chapter 3: Functional Manufacturing and Information Technology
Edited by
Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang
Pages
168-173
DOI
10.4028/www.scientific.net/AMM.141.168
Citation
C. Yang, 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
Online since
November 2011
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$32.00
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