Development of partial discharge detection method using an autoregressive model in gas-insulated switchgears (GIS)

被引：0
|
作者：
机构：
[1] Inujima, Hiroshi
[2] Masui, Takeshi
[3] Maekawa, Hiroshi
来源：
Inujima, Hiroshi | 1600年 / Scripta Technica Inc, New York, NY, United States卷 / 115期
关键词：
Electric insulation - Electric switchgear - Failure analysis - Maintenance - Mathematical models - Random processes - Regression analysis - Signal processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Gas-insulated switchgears are important equipment in electric-supply stations where advanced techniques for safety and maintenance are required. The paper focuses on the problems concerning the insulating functions of GIS to discuss a method of signal processing for partial discharge detection and position identification. An autoregressive model is designed for potential fluctuation in a state without any partial discharge. The difference was found between potential fluctuations measured during partial discharge and those of the normal state models. The index of whiteness test of the residual random process is a useful parameter for representing this difference. The use of this method allows partial discharge detection.
引用
收藏
相关论文
共 50 条
  • [1] DEVELOPMENT OF PARTIAL DISCHARGE DETECTION METHOD USING AN AUTOREGRESSIVE MODEL IN GAS-INSULATED SWITCHGEARS (GIS)
    INUJIMA, H
    MASUI, T
    MAEKAWA, H
    ELECTRICAL ENGINEERING IN JAPAN, 1995, 115 (01) : 1 - 9
  • [2] Anomaly Detection for Partial Discharge in Gas-Insulated Switchgears Using Autoencoder
    Thi, Ngoc-Diem Tran
    Do, The-Duong
    Jung, Jae-Ryong
    Jo, Hyangeun
    Kim, Yong-Hwa
    IEEE ACCESS, 2020, 8 : 152248 - 152257
  • [3] Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears
    Wang, Guoming
    Kil, Gyung-Suk
    Ji, Hong-Keun
    Lee, Jong-Hyuk
    ENERGIES, 2017, 10 (11):
  • [4] Identification of Partial Discharge Defects in Gas-Insulated Switchgears by Using a Deep Learning Method
    Gu, Feng-Chang
    IEEE ACCESS, 2020, 8 : 163894 - 163902
  • [5] Partial Discharge Detection in Gas-Insulated Switchgears Using Sensors Integrated With UHF and Optical Sensing Methods
    Han, Xutao
    Zhang, Xuanrui
    Guo, Ruochen
    Wang, Haotian
    Li, Junhao
    Li, Yuan
    Zhao, Mo
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2022, 29 (05) : 2026 - 2033
  • [6] Deep Ensemble Model for Unknown Partial Discharge Diagnosis in Gas-Insulated Switchgears Using Convolutional Neural Networks
    Tuyet-Doan, Vo-Nguyen
    Pho, Ha-Anh
    Lee, Byeongho
    Kim, Yong-Hwa
    IEEE ACCESS, 2021, 9 : 80524 - 80534
  • [7] Two Planar Antennas for Detection of Partial Discharge in Gas-Insulated Switchgear (GIS)
    Lozano-Claros, Diego
    Custovic, Eddie
    Elton, Darrell
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION, NETWORKS AND SATELLITE (COMNESTAT), 2015, : 8 - 15
  • [8] Detection Method of Partial Discharge on Transformer and Gas-Insulated Switchgear: A Review
    Faizol, Zulbirri
    Zubir, Farid
    Saman, Norhafezaidi Mat
    Ahmad, Mohd Hafizi
    Rahim, Mohamad Kamal A.
    Ayop, Osman
    Jusoh, Muzammil
    Majid, Huda A.
    Yusoff, Zubaida
    APPLIED SCIENCES-BASEL, 2023, 13 (17):
  • [9] Characterization of internal discharge shock waves of gas-insulated switchgears using shadowgraphy
    Jia, Chenglong
    Chu, Penghao
    Zhao, Wenbin
    Tang, Zhong
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (24) : 5378 - 5385
  • [10] UHF Partial Discharge Localization in Gas-Insulated Switchgears: Gradient Boosting Based Approach
    Massaoudi, Mohamed
    Darwish, Ahmad
    Refaat, Shady S.
    Abu-Rub, Haitham
    Toliyat, Hamid A.
    2020 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC), 2020,
12345