Title :
Informative wavelet algorithm in diesel engine diagnosis
Author :
Tafreshi, R. ; Ahmadi, H. ; Sassani, F. ; Dumont, G.
Author_Institution :
Dept. of Mech. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
The informative wavelet methodology is applied for feature extraction and fault classification in a single-cylinder internal combustion engine. The extremely noisy, time-variant and transient vibration signals make wavelets highly suitable for the analysis of such signals in diagnosis applications and can be used to obtain dynamic information about the machine conditions.
Keywords :
fault diagnosis; feature extraction; internal combustion engines; mechanical engineering computing; pattern classification; signal processing; vibrations; wavelet transforms; diesel engine; fault classification; fault diagnosis; feature extraction; informative wavelet algorithm; noisy signals; single-cylinder internal combustion engine; transient vibration signals; Diesel engines; Discrete wavelet transforms; Fault diagnosis; Feature extraction; Frequency; Information analysis; Internal combustion engines; Pattern recognition; Signal analysis; Wavelet analysis;
Conference_Titel :
Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7620-X
DOI :
10.1109/ISIC.2002.1157790
