Gasoline Engine Knock Edge Diagnosis Based on Wavelet Transform and Hilbert Transform

被引：0
|
作者：
Lin G. [1 ]
Yang J. [1 ]
Chun L. [1 ]
Liu Y. [1 ]
机构：
[1] School of Automobile Engineering, Harbin Institute of Technology, Weihai
来源：
Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines) | 2019年 / 37卷 / 04期
关键词：
Envelope line; Fitting; Gasoline engine; Hilbert transform; Knock diagnosis; Wavelet transform;
D O I：
10.16236/j.cnki.nrjxb.201904046
中图分类号：
学科分类号：
摘要：
Vibration signal detection is the main application and research area of the current knock diagnosis on gasoline engines.The wavelet transform has the remarkable advantage of effectively extracting the feature of the knock edge from a vibration signal that is of poor signal-to-noise ratio.However, how to make full use of the transient impact feature of knock edge to realize automatic knock control of the engine is an important issue to be explored and solved.A method of envelop and fitting the knocking transient impact signal using Hilbert transform was proposed. Based on this method, a knock edge index was defined and its calculation formula was given.The proposed knocking edge diagnosis method was applied to the experimental data.The results show that the value of the knock edge index is obviously different between the knock edge combustion state and the normal combustion state.This means that the index can effectively diagnose the knock edge state, so be used to realize the automatic knock edge diagnosis based on vibration signal detection. © 2019, Editorial Office of the Transaction of CSICE. All right reserved.
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页码：351 / 358
页数：7
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