IMPROVEMENT OF GENERALIZED CONSTRAINT PROPAGATION TECHNIQUE IN MODEL BASED DIAGNOSIS

In model-based diagnosis, to any diagnosis methods, it is the first step to generate the minimal conflict sets according to the measuring results and the domain knowledge, and the generalized constraint propagation technique is the most effective method in the process. In this paper, based on the conception of component set affecting measuring points(DSAMP),the generalized constraint propagation technique is improved and diagnosis efficiency is advanced.