Volume 8, Issue 3 (9-2018)                   ASE 2018, 8(3): 2759-2768 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Moshrefi A, Shalchian M. Improved Knock Detection Method Based on New Time-Frequency Analysis In Spark Ignition Turbocharged Engine. ASE 2018; 8 (3) :2759-2768
URL: http://www.iust.ac.ir/ijae/article-1-462-en.html
Amirkabir University of Technology(AUT)
Abstract:   (21886 Views)
Premature combustion that affects outputs, thermal efficiencies and lifetimes of internal combustion engine is called “knock effect”. However knock signal detection based on acoustic sensor is a challenging task due to existing of noise in the same frequency spectrum. Experimental results revealed that vibration signals, generated from knock, has certain frequencies related to vibration resonance modes of the combustion chamber. In this article, a new method for knock detection based on resonance frequency analysis of the knock sensor signal is introduced. More specifically at higher engine speed, where there is additional excitation of resonance frequencies, continuous wavelet transform has been proposed as an effective and applicative tool for knock detection and a formula for knock detection threshold based on this method is suggested. Measurement results demonstrate that this technique provide 15% higher accuracy in knock detection comparing to conventional method.


 
Full-Text [PDF 1111 kb]   (8463 Downloads)    

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 All Rights Reserved | Automotive Science and Engineering

Designed & Developed by : Yektaweb