A Decision Support System with Dynamic Probability Adjustment for Fault Diagnosis in Critical Systems

摘要

In order to locate and remove the faults in the critical systems where the faults occur, this paper proposes a three-layer decision support system for fault diagnosis, in which both static information and dynamic information of the system are used to find out suspicious components. In the process of locating the faults, a bipartite graph is applied to describe the relation between the symptom and the components, on the basis of which a method is proposed to calculate the value of fault evidence of a component. Then, the components whose values are larger are chosen as the result. Meanwhile, the decision support system adjusts the data of the bipartite graph according to the actual situation in order to improve the effectiveness of the diagnosis. The experiment shows that the fault diagnosis process in the decision support system can locate the fault more effectively.