Keywords
gis combined electric appliance, partial discharge, pattern recognition, electromagnetic mode
Abstract
Detection of partial discharge by UHF signal has become an ordinary operation and maintenance detection method for High Voltage GIS, transformers, and other equipment. However, this method indirectly detects PD intensity by measuring electromagnetic waves, so the accuracy of PD pattern recognition technology based on this method is not high, and has not been well solved. This paper introduces the cut-off frequency of TEm1 mode as the division basis of the time-frequency distribution of the PD UHF signal. The PD UHF signal excited by a single insulation defect is used for signal preprocessing, time-frequency distribution segmentation, feature parameter extraction and selection, PSO-ELM recognition, and other operations. Finally, the PD signal type can be accurately determined and the identification accuracy of insulation defect types in GIS can be improved. This segmentation method enhances the spatial distribution information of image features, and it is of great practical value to improve the accuracy of the UHF method in PD identification.
DOI
10.19781/j.issn.1673-9140.2022.06.012
First Page
108
Last Page
115
Recommended Citation
XIN, Wencheng; YAO, Senjing; CHEN, Haoming; XI, Yu; ZHANG, Fan; AO, Bang; BIN, Feng; LIN, Xiaoqing; and WANG, Feng
(2023)
"Pattern recognition of UHF signals in partial discharge considering electromagnetic model,"
Journal of Electric Power Science and Technology: Vol. 37:
Iss.
6, Article 12.
DOI: 10.19781/j.issn.1673-9140.2022.06.012
Available at:
https://jepst.researchcommons.org/journal/vol37/iss6/12