Dynamic Causality Diagram in Vehicular Engine's Fault Diagnosis

Abstract

We discuss the knowledge expression, reasoning and probability computing in dynamic causality diagram, which is developed from the belief network and overcomes some shortages of Belief Network. The model of causality diagram used for vehicular engine’s fault diagnosis is brought forward, and the model constructing method and reasoning algorithm are also presented. At last, an application example in the vehicular engine’s fault diagnosis is given which shows that the method is effective.