Title :
Knocking recognition in engine vibration signal using the wavelet transform
Author :
Molinaro, F. ; Castanié, F. ; Denjean, A.
Author_Institution :
ENSEEIH, Toulouse, France
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;
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
DOI :
10.1109/TFTSA.1992.274166
