Visible to the public Fault Diagnosis in Transmission Lines Based on Leakage Current and Qualitative Trend Analysis

TitleFault Diagnosis in Transmission Lines Based on Leakage Current and Qualitative Trend Analysis
Publication TypeConference Paper
Year of Publication2017
AuthorsSilva, P. R. N., Carvalho, A. P., Gabbar, H. A., Vieira, P., Costa, C. T.
Conference Name2017 International Conference on Promising Electronic Technologies (ICPET)
ISBN Number978-1-5386-2269-8
Keywordscondition monitoring, equivalent circuit, fault diagnosis, fault modes, Harmonic Spectrum, Human Behavior, Human Errors, human factor, human factors, insulator chains contamination, insulator contamination, Intelligent Diagnosis, Leakage Current, leakage current measurements, leakage currents, Metrics, multiple fault diagnosis, multiple faults diagnosis method, power transmission faults, power transmission lines, pubcrawl, qualitative trend analysis, real-time decision need, resilience, Resiliency, transmission lines
Abstract

Transmission lines' monitoring systems produce a large amount of data that hinders faults diagnosis. For this reason, approaches that can acquire and automatically interpret the information coming from lines' monitoring are needed. Furthermore, human errors stemming from operator dependent real-time decision need to be reduced. In this paper a multiple faults diagnosis method to determine transmission lines' operating conditions is proposed. Different scenarios, including insulator chains contamination with different types and concentrations of pollutants were modeled by equivalents circuits. Their performance were characterized by leakage current (LC) measurements and related to specific fault modes. Features extraction's algorithm relying on the difference between normal and faulty conditions were used to define qualitative trends for the diagnosis of various fault modes.

URLhttps://ieeexplore.ieee.org/document/8109044
DOI10.1109/ICPET.2017.22
Citation Keysilva_fault_2017