Development of PRPS Conversion Algorithm and Generator Using PRPD Pattern of Underground Power Transmission Cable

Lim, J. H.; Joh, Gye-Hyun; Lee, Jeon-Seon; Choi, Won Young

doi:10.1007/978-3-030-31676-1_55

Cited by 1 publication

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other phase-resolved feature is the PRPS. According to Lim et al [70] the PRPD pattern data of various facility defects are acquired through the diagnosis of underground power transmission cables. However, because the PRPD data storage structure and the pulse generation information are destroyed over time, reconverting to a 3D PD pattern (i.e.…”

Section: Phase Resolved Techniquementioning

confidence: 99%

“…To generate the pulses based on the basis of the PRPS pattern using the existing PRPD pattern and input the pulses into the device to perform the defect judgement output test, a PD pulse generator must be created based on simulated PRPS data. The development of a PD pattern generator that can generate pulses based on PRPS data and an algorithm that converts existing PRPD pattern data to PRPS pattern data were studied by Lim et al [70] to solve the issue.…”

Section: Phase Resolved Techniquementioning

confidence: 99%

“…The best part of the research is that no noise filtering was applied, and all the data used were based on the measuring signal desired in the signal processing technique. The method's accuracy was measured based on four conditions, with the combination of SVM and statistical features obtaining a higher accuracy of 94% than the others [70]. However, the repeatability of the result is not mentioned in the paper.…”

Section: Support Vector Machinementioning

confidence: 99%

See 2 more Smart Citations

Partial Discharges Classification Methods in XLPE Cable: A Review

et al. 2021

View full text Add to dashboard Cite

Partial discharge (PD) signal classification analysis on cross-linked polyethylene (XLPE) cables is complex, requiring a comprehensive understanding of the characteristics of PD patterns. In the realm of high-voltage electrical insulation, PD pattern characteristics, such as PD charge and inception voltage, are essential as assessment criteria in diagnostics systems using PD classifiers. This paper provides a review of various PD patterns and classifiers used by previous researchers, specifically for XLPE cables. In addition, the differences of the research on various sensor development based on PD detection in the past 27 years are also discussed. The repeatability, recognition accuracy, recognition speed, and effect of feature sizes on each PD classification method are reviewed and explained. The review indicates that the pattern recognition for PD signal using artificial neural network (ANN) exhibits better performance in terms of accuracy and repeatability than the other methods, and the reduction of feature size does not affect the accuracy of ANN.INDEX TERMS Partial discharge (PD), cross-linked polyethylene (XLPE) cable, solid insulator, pattern recognition, feature extraction, artificial neural network (ANN)

show abstract

Section: Phase Resolved Techniquementioning

confidence: 99%

Section: Phase Resolved Techniquementioning

confidence: 99%

Section: Support Vector Machinementioning

confidence: 99%

See 1 more Smart Citation