Application of Wavelet Packet Transform in the Knock Detection of Gasoline Engines

摘要：

In order to extract knock feature for gasoline engines, vibration signals are acquired by an accelerometer mounted on the engine block head; a method based on wavelet packet transform is researched in this paper. Power spectrum density (PSD) estimation is used to determine the band range of the resonance frequency generated by knock component. An autoregressive (AR) model is made for the short data segment which contains knock energy, and the resonance frequency is estimated with Burg algorithm. The result decides which layer of wavelet packet decomposition is needed. Then the coefficients of sub-bands are chosen with a proposed rule, so that the knock feature is obtained while noise is reduced significantly. Real vibration signals analysis indicates an improvement in signal-to-noise ratio (SNR) with the proposed method; its performance is better than basic wavelet analysis method for light knock detection.

关键词： engine knock feature eztraction wavelet wavelet packet

作者: Chengcai Liu Qing Gao Ying-ai Jin Wenhong Yang

作者单位: State Key Laboratory of Automobile Dynamic Simulation, China College of Automotive Engineering, Jili College of Communication Engineering, Jilin University Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 686-690

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）