Fault Diagnosis on Electric Power Systems Based on Petri Net Approach

Model based failure diagnosis in discrete event system is based on state based sensor outputs. With the advancements in sensor technology, sensor outputs related to each event is available for monitoring. In this paper event based sensor outputs are taken into account in component modeling in a formal way. A modeling framework using the event based observations is proposed and a diagnoser is developed using this model. The modeling and diagnoser are based on finite state machines (FSM). Hidden failures in power system relays and circuit breakers are considered for the study.

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Fault Diagnosis on Electric Power Systems Based on Petri Net Approach

Cited by 3 publications

References 0 publications

Diagnosis of power system failures using observer based discrete event system

Diagnosis of power system failures using observer based discrete event system

Modelling Hybrid Petri Nets to analyze contingencies in Power Systems

Modeling a system using observations in discrete event system for failure diagnosis

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