Fault Diagnosis of GIS Disconnector Based on BP Neural Network
ID:123 View Protection:PUBLIC Updated Time:2021-06-23 15:25:26 Hits:1477 Poster Presentation

Start Time:2021-07-02 15:23(Asia/Shanghai)

Duration:1min

Session:SP Poster Session » P2Poster Session 3 & 4

Abstract
When a fault occurs, the current of the GIS isolating switch will change greatly compared with the normal operating state of the angle of rotation. The fault diagnosis method based on BP neural network is adopted. First, collect the current and rotation angle signals. Then extract relevant features for network training. Finally, the diagnosis model is used to diagnose the fault of the GIS isolating switch. Simulation and experiment show that this method can effectively improve the fault recognition rate.
Keywords
BP neural network, GIS isolation switch, current, rotation angle, fault diagnosis
Speaker
Feng Wen
Nanjing University of Science and Technology ;School of automation

Submission Author
Feng Wen School of Automation; Nanjing University of Science and Technology
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Important Date
  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
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