BibTeX:

@article{IJIRSTV7I4013,
     title={Decision Modeling and Diagnosing of Power Transformer Component Failures using Bayesian Network Approach},
     author={M. Pradeep Kumar, P. Sahithi and T. Srujan Kumar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={7},
     number={4},
     pages={8--14},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV7I4013.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

As technology is rapidly increasing day by day we can’t imagine without electricity as it plays a key role in our daily life. Power transformer is a part in transmitting electricity and is the main component in any power system. It is static device wounded by iron core, enclosed in a tank. The main operation of transformer is to transfer power. Quality of the power distributed depends on the transformer because changing voltage is one of the functions of the transformer. The safe and stable operation of power system depends on the transformer. The interruptions in transformer not only breaks the circuit but increases the risk of power outages in grids of power systems, damages household equipments which causes inconvenience to the people’s life. Due to these reasons it is essential to trace out different failures and failure modes of power transformers. It is important to identify the hidden failures or dangers by using different statistical tools. A Bayesian Belief Network (BBN) is one such tool to analyze faults and failures of any system. It is the most widely used model in fault diagnosis which integrates data and expert opinion to alleviate further decisions. In this paper, BBN was modeled for all the failure mode of power transformer and a network was constructed by considering the failure probabilities and conditional probabilities. The focus on the failure modes which having highest probability values as indicated in Bayesian network may considerably enhance the overall performance of the transformer.

Bayesian Belief Network (BBN), Conditional Probability, Transformer