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Fault diagnosis and assessment is a crucial and difficult problem for power system. Back propagation neural network expert system (BPES) is an often used method in fault diagnosis. However, with the layer numbers increasing, BPES becomes time consuming and even hard to converge. To solve this problem, we divide the whole networks into many sub-BP groups within a short depth and then propose a novel...
For a long time, the fault diagnosis and assessment for power transformer is a quite complex and difficult problem. In this paper, we propose a transformer fault diagnosis method based on fuzzy theory. The dissolved gas concentrations are set as the inputs of the system, and a fuzzy system group is appLied to build the intelLigent diagnosis system. The parameters of the system, including the input...
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