Application of Evidence Theory and Rough Sets in Substation Fault Diagnosis
Hongsheng Su · Proceedings of the Chinese Society of Universities for Electric Power System and its Automation · 2009
In view of the inherent defects of Evidence Theory such as that the basic probability assignments(bpa) given out by people would lead to strong subjectivities, the paper analyzes the relation between rough sets(RS) and Evidence theory firstly,and make it certain that RS is the basis of Evidence Theory.Then the paper presents the special process of substations fault diagnosis based on RS and Evidence Theory,and investigates the reasoning algorithm for a substation fault diagnosis.By using the algorithm in the uncertainty knowledge decision-making rules of the fault diagnosis expert system for the substation,the results show that the algorithm can strengthen stability of reasoning and own strong robustness,therefore it is an effective information disposal method for uncertain and incomplete information.