Diagnosing Transformer Faults with Petri Nets

Abstract

AbstractTransformer fault diagnosis and repair is a complex task that includes many possible types of faults and demands special trained personnel. In this paper, Petri Nets are used for the simulation of transformer fault diagnosis process and the definition of the actions followed to repair the transformer. An integrated safety detector relay is used for transformer fault detection. Simulation results for the most common types of transformer faults (overloading, oil leakage, short-circuit and insulation failure) are presented. The proposed methodology aims at identifying the transformer fault and estimating the duration for transformer repair.KeywordsFault DiagnosisPower DeliveryReachability GraphInput PlaceStochastic TransitionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.