Multispectral characteristic analysis for free metallic particle discharge in SF6 gas conditions

Dong Wang; Weifeng Xin; Taiyu Chen; Deying Ma; Haijin Fu; Zhenyu Zhang; Songyang Zhang; Le Lv

doi:10.1117/12.3008984

27 October 2023 Multispectral characteristic analysis for free metallic particle discharge in SF6 gas conditions

Dong Wang, Weifeng Xin, Taiyu Chen, Deying Ma, Haijin Fu, Zhenyu Zhang, Songyang Zhang, Le Lv

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129221G (2023) https://doi.org/10.1117/12.3008984
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

Free metallic particle discharge seriously threatens the operation safety of the Gas Insulated Switchgear (GIS). However, limited by the detection sensitivity, anti-interference ability and intelligent diagnosis ability, the traditional electromagnetic detection and chemical detection methods face serious challenges in abnormal discharge detection. In this paper, a practical multispectral detection technology is introduced into free metallic particle discharge diagnosis. According to change the number of the free metallic particle, discharge defects with different risks are simulated. On this basis, phase-based multispectral characteristics such as, phase- resolved partial discharge pattern, pulse phase distribution, and non-phase-based multispectral characteristics such as, time series signal, maximum multispectral pulse intensity, multispectral mean pulse intensity and ternary graph distribution are analyzed to represent the degree of free metallic particle discharge development. Multispectral characteristic analysis provides an effective method to characterize the discharge defects and provides a research basis for the subsequent fine fault diagnosis combined with intelligent algorithms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dong Wang, Weifeng Xin, Taiyu Chen, Deying Ma, Haijin Fu, Zhenyu Zhang, Songyang Zhang, and Le Lv "Multispectral characteristic analysis for free metallic particle discharge in SF6 gas conditions", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129221G (27 October 2023); https://doi.org/10.1117/12.3008984

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KEYWORDS

Particles

Pulse signals

Signal intensity

Metals

Signal detection

Phase distribution

Analytical research

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