Fault Detection and Normal Operating Condition in Power Transformers via Pattern Recognition Artificial Neural Network
André Gifalli,
Alfredo Bonini Neto,
André Nunes de Souza
et al.
Abstract:Aging, degradation, or damage to internal insulation materials often contribute to transformer failures. Furthermore, combustible gases can be produced when these insulation materials experience thermal or electrical stresses. This paper presents an artificial neural network for pattern recognition (PRN) to classify the operating conditions of power transformers (normal, thermal faults, and electrical faults) depending on the combustible gases present in them. Two network configurations were presented, one wit… Show more
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