Petri Net Modeling of Transformer Fault Diagnosis Process

نویسندگان

  • PAVLOS S. GEORGILAKIS
  • JOHN A. KATSIGIANNIS
چکیده

Transformer 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 oil thermometer and a Buchholz relay are 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. Key-Words: Power System, Transformer, Transformer Fault Diagnosis, Transformer Repair, Artificial Intelligence, Petri Nets.

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تاریخ انتشار 2003