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The diagnosis of incipient faults in power system elements such as transformers is usually based on the concentrations of dissolved gases existent in the insulation oil. There are consolidated DGA based (dissolved gas analysis) methods in the literature, such as the Duval triangle. However, they present some limitations such as the existence of non-decision areas and erroneous results. Proposed is...
The artificial neural networks represent efficient computational models that are widely used to solve problems of difficult solution in Artificial Intelligence. The greatest difficulty associated with the use of Artificial Neural Networks (ANN) is in obtaining knowledge about its behavior, because of that ANNs are also considered as black-box methods. This paper presents a brief history of methods...
In this paper, artificial neural networks are used to solve a complex problem concerning to power transformers and characterized by non-linearity and hard dynamic modeling. The operation conditions and integrity of a power transformer can be detected by analysis of physical-chemical and chromatographic isolating oil, allowing establish procedures for operating and maintaining the equipment. However,...
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