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Abstract



Improving Diagnosis Performances on a Truck Engine Making Use of Statistical Charts


A method to improve model based diagnosis for the air path of a truck engine is presented. Originally, inaccuracies in both the volumetric efficiency static model and sensors limited the diagnosis performances. Statistical charts built from truck operational data were tested in order to reduce the overall residual dispersion. Data taken from two different trucks working in various operating conditions were used to evaluate the proposed approach. The use of charts is improving the diagnosis performances by approximately 30%.

Antoine Berton, Erik Frisk and Mattias Nyberg

IFAC Symposium on Advances in Automotive Control, 2004

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