An analysis method for engine ignition waveform based on wavelet threshold denoising and secondary empirical mode decomposition

被引：0

作者：

Jiang, Shuxia ^{[1
,2
]}

Luo, Yiping ^{[1
]}

机构：

[1] School of Traffic and Transportation Engineering, Central South University, Changsha,410075, China

[2] School of Traffic and Logistics, Central South University of Forestry and Technology, Changsha,410004, China

来源：

Qiche Gongcheng/Automotive Engineering | 2015年 / 37卷 / 04期

关键词：

Fault detection - Engines - Wavelet decomposition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

An engine waveform analysis method is proposed by combing wavelet threshold denoising with secondary empirical mode decomposition (SEMD). By analyzing the characteristics of eliminated noise, it is found that wavelet threshold denoising works better than SEMD denoising. SEMD-based time-frequency analysis can effectively analyze the abnormal components of ignition waveforms according to the features of intrinsic mode function (IMF). The method proposed takes full advantage of both wavelet threshold denoising and SEMD-based time-frequency analysis, and once the database of waveform is set up based on the method, the non-disassembling fault diagnosis of engine can be realized. ©, 2015, SAE-China. All right reserved.

引用

页码：380 / 386

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