DocumentCode
2953179
Title
Knock detection based on SOM
Author
Lazarescu, Dan ; Lazarescu, Vasile ; Ungureanu, Mihaela
Author_Institution
Politehnica Univ., Bucharest, Romania
fYear
2004
fDate
23-25 Sept. 2004
Firstpage
117
Lastpage
120
Abstract
A new method based on self organizing maps (SOM) is proposed for knock detection. The method differs from the other existing methods in that the wavelet coefficients are computed and further, some statistical parameters. The computed parameters are then applied to a SOM in order to classify the engine cycles as affected by knock or not affected cycles. Once a cycle has been detected as a knock containing one, for the next cycle the engine can be protected in order to avoid further appearances of knock.
Keywords
internal combustion engines; mechanical engineering computing; self-organising feature maps; statistical analysis; wavelet transforms; SOM; engine cycle classification; knock detection; self organizing maps; statistical parameters; wavelet coefficients; Combustion; Discrete wavelet transforms; Engines; Frequency; Ignition; Resonance; Signal resolution; Vibration measurement; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
Print_ISBN
0-7803-8547-0
Type
conf
DOI
10.1109/NEUREL.2004.1416551
Filename
1416551
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