SIGNAL COMPONENT ANALYSIS FOR MISFIRE DETECTION |
|---|
| M. Lindemann, D. Filbert |
- Abstract:
- The misfire detection plays an essential role for the on-board diagnosis of sparc ignition engines and is prescribed by law in the United States of America since 1989 (OBDII). According to the last revised edition from 1996, the misfire detection rate must equal 100 percent for the 2002 model year under all operating conditions relating to speed and torque. Actual methods for misfire detection in sparc ignition engines base on measuring speed fluctuations. But they don't work reliably even at high speed and low torque. Hence this paper describes a new approach which consists of measuring the vibration at the cylinder walls. The composition of the knock sensor signal is introduced and classified in several elementary parts. All of them carry information about the state of combustion. A new polynomial based signal element decomposition method is proposed to extract features for the misfire detection. Results are given using real knock sensor signals.
- Keywords:
- engine misfire detection, signal component analysis, polynomial filtering
- Download:
- IMEKO-WC-2000-TC10-P268.pdf
- DOI:
- -
- Event details
- Event name:
- XVI IMEKO World Congress
- Title:
Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
- Place:
- Vienna, AUSTRIA
- Time:
- 25 September 2000 - 28 September 2000