Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition

Bi, F, Ma, T and Wang, X 2019, 'Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition', Mechanical Systems and Signal Processing, vol. 117, pp. 517-536.


Document type: Journal Article
Collection: Journal Articles

Title Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition
Author(s) Bi, F
Ma, T
Wang, X
Year 2019
Journal name Mechanical Systems and Signal Processing
Volume number 117
Start page 517
End page 536
Total pages 20
Publisher Elsevier
Abstract The main contribution of this paper is inventing a novel knock characteristic extraction method using vibration signals. Engine knock reduces the thermal efficiency and restricts performance improvement of a gasoline engine. Reliable and rapid detection of engine knock characteristics (including light knock) is key for the engine knock control. Based on the wavelet-denoising and empirical mode decomposition (EMD) methods and the analysis results, this paper discovers that the wavelet-denoising can eliminate the high frequency noise that was not generated by the engine knock. After the wavelet-denoising, EMD decomposition can effectively identify the knock characteristics (include the light knock) from a vibration signal. Compared to existing knock detection methods, the new method in this paper can reduce the computational time while ensuring the reliability of the knock detection.
Subject Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
Signal Processing
Dynamics, Vibration and Vibration Control
Keyword(s) Knock detectionGasoline engineWavelet-denoisingEmpirical mode decomposition
DOI - identifier 10.1016/j.ymssp.2018.08.008
Copyright notice © 2018 Published by Elsevier Ltd.
ISSN 0888-3270
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