DocumentCode
1640498
Title
Knocking recognition in engine vibration signal using the wavelet transform
Author
Molinaro, F. ; Castanié, F. ; Denjean, A.
Author_Institution
ENSEEIH, Toulouse, France
fYear
1992
Firstpage
353
Lastpage
356
Abstract
The authors propose pattern recognition using wavelet parameters for detecting a physical signal, i.e., knocking, in engine vibration. It is shown that wavelet transform parameters of the vibration signal improve knocking detection, especially at high speed, for slow signal-to-noise ratio (SNR). The knocking signal is characterized by the sum of several resonance frequencies. This method should give good results for other signals which have the same characteristics
Keywords
automobiles; pattern recognition; vibrations; wavelet transforms; SNR; engine vibration signal; knocking signal recognition; pattern recognition; resonance frequencies; slow signal-to-noise ratio; wavelet parameters; wavelet transform; Combustion; Continuous wavelet transforms; Detectors; Discrete wavelet transforms; Engines; Pattern recognition; Resonance; Resonant frequency; Signal to noise ratio; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274166
Filename
274166
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