DocumentCode
2284139
Title
A diagnostic method using wavelets networks application to engine knock detection
Author
Thomas, Jean-Hugh ; Dubuisson, Bernard
Author_Institution
Univ. de Technol. de Compiegne, France
Volume
1
fYear
1996
fDate
14-17 Oct 1996
Firstpage
244
Abstract
The paper proposes to use wavelet networks in order to realize a diagnostic system. First, they constitute the models of the operating modes of the system. Then they allow extraction of relevant features from acquired data. The goal of the method is to partition the feature space into classes representing the operating modes of the system. The whole process that belongs to pattern recognition, leads to diagnostic fusion. It is applied to engine knock detection. Experimental results are reported
Keywords
automobile industry; decision theory; feature extraction; internal combustion engines; neural nets; quality control; diagnostic fusion; diagnostic method; diagnostic system; engine knock detection; pattern recognition; wavelets networks; Computer architecture; Data mining; Decision making; Electronic mail; Engines; Feature extraction; Neural networks; Paper technology; Pattern recognition; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.569774
Filename
569774
Link To Document