Resumen

FERNANDEZ BLANCO, Juan Carlos; HERNANDEZ GONZALEZ, Félix Herminio  y  CORRALES BARRIOS, Luis Benigno. A fuzzy logic method for diagnosis incipient faults in a 40MVA transformer. EAC [online]. 2021, vol.42, n.2, pp.76-88.  Epub 09-Sep-2021. ISSN 1815-5928.

Power transformers are equipment of great importance and their availability is essential for the safety and continuity of electrical service in industrial processes. There are different diagnostic methods that use smart techniques to detect power transformer faults. These methods, although successful, are difficult to implement in practice and encounter restrictions in the detection of failures. This document proposes a method for the diagnosis of incipient failures in a 40MVA transformer using fuzzy logic from the analysis of the gases dissolved in the oil. The proposal is simple, easy to implement and has good precision in detecting multiple failures. With reliable dissolved gas samples, it guarantees a total accuracy rate in the detection of incipient faults of 91.6%, while the Duval triangle method is 74.1%, the IEC method is 52.2% and the Rogers method in 42.8%, which demonstrates its superiority, compared to conventional diagnostic methods. The method, based on historical data, makes it possible to determine the condition of the transformer without affecting the continuity of the service.

Palabras clave : fault diagnosis; fuzzy logic; dissolved gas analysis; power transformer.

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