DocumentCode :
1749402
Title :
Fast knock detection using pattern signals
Author :
Carstens-Behrens, Sönke ; Böhme, Johann F.
Author_Institution :
Dept. of Electr. Eng. & Inf. Sci., Ruhr-Univ., Bochum, Germany
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
3145
Abstract :
In order to detect knock in spark ignition engines, usually structure-borne sound signals measured by acceleration sensors mounted on the engine housing are analyzed. Earlier investigations have shown that using linear, time variant filtered structure-borne sound signals as an approximated pressure signal instead improves knock detection significantly. But this method is computationally too expensive for application in production vehicles. We propose to fit suitable pattern signals to structure-borne sound and use the estimated scaling parameters to approximate pressure. The new approach is applied to knock detection with measured data
Keywords :
acoustic signal detection; approximation theory; filtering theory; internal combustion engines; parameter estimation; acceleration sensors; approximated pressure signal; engine housing; fast knock detection; linear structure-borne sound signals; pattern signals; production vehicles; scaling parameters estimation; spark ignition engines; time variant filtered sound signals; Acceleration; Accelerometers; Acoustic sensors; Engines; Ignition; Nonlinear filters; Production; Signal analysis; Signal detection; Sparks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940325
Filename :
940325
Link To Document :
بازگشت