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Currently, the majority of metal–oxide surge arrester (MOSA) monitoring techniques are based on total leakage current decomposition of their capacitive and resistive components. However, these techniques are subject to some financial, technical, and practical limitations, which can hamper their usage on the field. In this paper, a new monitoring technique for the zinc–oxide surge arrester is proposed...
In this work a study about the performance of some metal oxide surge arrester models under lightning conditions is presented. Real data were used in electrical power system simulations. Part of the local utility system was chosen to receive the lightning discharges. Discharges with 8/20 µs and 1/2 µs were applied in the evaluated system. The evaluated surge arrester models presented similar results...
In this work a monitoring and diagnostic technique for ZnO surge arresters is proposed. This technique is based on a special kind of Artificial Neural Network (ANN) known as Self-Organizing Maps (SOM), which is a network, trained using unsupervised learning. The proposed technique performs the thermal profile analysis of ZnO surge arresters when submitted to their operating voltage. From this analysis,...
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