Showing papers by "Don Kulasiri published in 1995"

A comparison of model-based reasoning and learning approaches to power transmission fault diagnosis

Abstract: An application of model-based reasoning and model-based learning to an operative diagnostic domain such as electrical power transmission networks is presented. Most of the research in model-based diagnosis is based on maintenance diagnosis. Operative diagnosis, on the other hand, is done while the system is still in operation even after the fault. We plan to develop an efficient algorithm for operative diagnosis which can handle a large domain of faults and multiple faults in real time. In our search toward a better algorithm, we develop and compare two different reasoning methods: diagnosis based on model based reasoning, and diagnosis based on heuristic rules learnt from model based reasoning. This paper presents the results of the comparison.

Knowledge based jitter analysis in power system control

Abstract: This paper presents the development of an expert system TPAISA for fault analysis of analog problems in power system control. The objectives are to identify the problem analogs and to establish the fault diagnosis for each analog signal. These objectives are accomplished by building the knowledge base which contains the heuristics of the expert and using it to identify the problem analogs and the equipment responsible for it. The knowledge base has been divided into three different modules, and a blackboard architecture for efficient use of the modules is developed. The approach is validated by experimental results carried on the actual power system. >