Misfire Detection of Internal Combustion Engines Using Wave Form of Exhaust Gas Temperature
Author:
Affiliation:
1. Tokyo Gas Co., Ltd., Technology Research Institute
Publisher
Japan Society of Mechanical Engineers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials
Link
http://www.jstage.jst.go.jp/article/kikaic/77/780/77_780_3094/_pdf
Reference9 articles.
1. (1) Wu, Z. J., and Lee, A., “Misfire Detection Using a Dynamic Neural Network with Output Feedback”, SAE paper 980515, (1998) .
2. (2) Förster, J., Lohmann, A., Mezger, M., and Ries-Müller, K., “Advanced Engine Misfire Detection for SI-Engines”, SAE paper 970855 (1997) .
3. (3) Mahieu, V., Duponcheele, P., Leduc, B., Vanhemelrijk, J., L., Morenville, M., and Dehout, P., “Misfire Detection on S.I. Engines, by instantaneous Torque Analysis”, SAE paper 2000-01-0367 (2000) .
4. (4) Willimowski, M., and Isermann, R., “A Time Domain Based Diagnostic System for Misfire Detection in Spark-Ignition Engines by Exhaust-Gas Pressure Analysis”, SAE paper 2000-01-0366, (2000) .
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