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Following a number of studies that have employed different forms of neural network models to perform dissolved gas-in-oil analysis (DGA) of transformer bushings, this manuscript focuses on evaluating the relevance of the parameters that form part of the model input space. Using a multilayer neural network initially populated with all the 10 input parameters (10V-Model), a matrix containing causal...
Obecna złożoność pracy systemu elektroenergetycznego zarówno konfiguracyjnie, jak i funkcjonalnie pociąga za sobą konieczność stosowania coraz bardziej skomplikowanych struktur cyfrowych systemów automatyki, wykorzystujących zaawansowane algorytmy decyzyjne. W artykule przedstawiono możliwości zastosowania sztucznych sieci neuronowych jako podstawowoego narzędzia do przetwarzania danych oraz podejmowania...
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