Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks

Balduíno César Mateus (), José Torres Farinha and Mateus Mendes
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Balduíno César Mateus: Research Centre in Asset Management and Systems Engineering, RCM 2+ Lusófona University, Campo Grande, 376, 1749-024 Lisboa, Portugal
José Torres Farinha: Instituto Superior de Engenharia de Coimbra, Polytechnic Institute of Coimbra, RCM 2+ Research Centre in Asset Management and System Engineering, 3030-199 Coimbra, Portugal
Mateus Mendes: Instituto Superior de Engenharia de Coimbra, Polytechnic Institute of Coimbra, RCM 2+ Research Centre in Asset Management and System Engineering, 3030-199 Coimbra, Portugal

Energies, 2024, vol. 17, issue 2, 1-18

Abstract: Transformers are indispensable in the industry sector and society in general, as they play an important role in power distribution, allowing the delivery of electricity to different loads and locations. Because of their great importance, it is necessary that they have high reliability, so that their failure does not cause additional losses to the companies. Inside a transformer, the primary and secondary turns are insulated by oil. Analyzing oil samples, it is possible to diagnose the health status or type of fault in the transformer. This paper combines Fuzzy Logic and Neural Network techniques, with the main objective of detecting and if possible predicting failures, so that the maintenance technicians can make decisions and take action at the right time. The results showed an accuracy of up to 95% in detecting failures. This study also highlights the importance of predictive maintenance and provides a unique approach to support decision-making for maintenance technicians.

Keywords: predictive maintenance; power transformers; fuzzy logic; neural network; MLPClassifier (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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