Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
399802 | International Journal of Electrical Power & Energy Systems | 2012 | 7 Pages |
Abstract
This paper presents a new methodology for monitoring, in real-time, the conditions of the insulation of an power transmission line, detecting and locating anomalies in its operation, before the supply of power is interrupted, thus allowing for preventive maintenance. This method uses the harmonic decomposition of the leakage current to analyze the condition of line insulation and employs a neural network to locate the fault. Experimental measurements were obtained to validate the simulated results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Paula Renatha N. da Silva, Martin Max L.C. Negrão, Petrônio Vieira Junior, Miguel A. Sanz-Bobi,