Keywords
gas insulated switchgear(GIS), vibration signal, HHT, MEEMD, wavelet transform, discharge factor
Abstract
In order to diagnose the typical mechanical looseness and insulation fault of gas insulated switchgear (GIS) in operation, this paper sets up experimental platform to simulate insulator loosenesses, tip discharges and suspended particle discharge faults. Acceleration signals of GIS vibration in different fault patterns are collected. Then the Hilbert marginal spectrum can be obtained by analyzing vibration signal using virtue of Hilbert-Huang transformation (HHT) after the modified ensemble empirical mode decomposition (MEEMD). The mechanical looseness or partial discharge of GIS can be judged through the energy of signals in different frequency bands. The wavelet transform is applied to calculate discharge factors, which reflects the characteristics of different types of partial discharge fault. Results obtained by experimental data analysis indicate that, the above methods can distinguish the faults of GIS and reflect the characteristics of partial discharge faults effectively. Thus providing a useful method for diagnosis of mechanical looseness and insulation fault of GIS.
DOI
10.19781/j.issn.1673-9140.2021.02.012
First Page
98
Last Page
106
Recommended Citation
Qu, Bin; Zhang, Li; Wang, Yongning; Fang, Qiong; Zang, Xu; Ma, Hongzhong; Chen, Rong; and Wang, Xiaopeng
(2021)
"Study of mechanical looseness and partial discharge diagnoses of GIS based on vibration signals,"
Journal of Electric Power Science and Technology: Vol. 36:
Iss.
2, Article 12.
DOI: 10.19781/j.issn.1673-9140.2021.02.012
Available at:
https://jepst.researchcommons.org/journal/vol36/iss2/12