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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