Application of Dempster-Shafer theory in condition monitoring applications: a case study

This paper is concerned with the use of Dempster-Shafer theory in 'fusion' classifiers. We argue that the use of predictive accuracy for basic probabi lity assignments can improve the overall system performance when compared t o 'traditional' mass assignment techniques. We demonstrate the effectivenes s of this approach in a case study involving the detection of static thermo static valve faults in a diesel engine cooling system. (C) 2001 Elsevier Sc ience B.V. All rights reserved.