C.R. Gomes, H.S. Gomes, and P. Vieira Jr. (Brazil)
Artificial Intelligence Applications in Energy and Power Sys;Fault Diagnosis;Power Transmission.
This article presents a new methodology which monitors, on-line, the insulation condition of a transmission line and verifies anomalies in the operation before the power transmission has been interrupted, providing, this way, a predictive maintenance in transmission lines. This methodology uses harmonic decomposition of the leakage current for analyzing the insulation condition of the line and employs an artificial neural network for defect location. Experimental measurements were done to validate the simulated results.
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