Abstract
Diagnosis of the partial discharge (PD) faults protects the insulation of the high voltage equipment from the breakdown issues. Many techniques are used to capture and analyse the PD signals that emit in the case of PD faults. In this work, a new application of the peak-finder algorithm is employed to classify among the PD faults that result from different PD sources. The artificial defects are made in different types of high voltage insulation such as mica and the cross-linked polyethylene (XLPE) insulation of the power cable in the laboratory to capture PD data using Portable PD Analyzing System (LDS-6). The high accuracy is obtained for the classification of the PD signals that developed from different PD sources, which is 93.34% of mica insulation and 86.67% for XLPE insulation for power cable. The results of the PD type classification accuracies refer to the high performance of the proposed technique to extinguish among the different sources of PD.
Recommended Citation
Ghoneim, Sherif S. M.
(2018),
CLASSIFICATION OF PARTIAL DISCHARGE FAULTS BASED ON SIGNAL PEAKS AND LOCATIONS,
Yanbu Journal of Engineering and Science: Vol. 16:
Iss.
1, 23-32.
DOI: https://doi.org/10.53370/001c.24340
Available at:
https://yjes.researchcommons.org/yjes/vol16/iss1/3
