Fault Diagnosis Method of Disconnector Based on Operating torque in Closing Process
ID:287 View Protection:ATTENDEE Updated Time:2021-12-03 10:57:32 Hits:1151 Oral Presentation

Start Time:2021-12-15 15:00(Asia/Shanghai)

Duration:15min

Session:F AI-driven technology » F1Session 6

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Abstract
In order to solve the problem of inspecting nonself-announcing fault of disconnector, a fault diagnosis method based on operating torque in the closing process is proposed. By building the multi-body dynamic model of the disconnector, the closing process is simulated and the operating torque is extracted. By simulating three kinds of faults, i.e. jamming defect, three-phase position asynchrony and uncompleted operation, the feature variations of operating torque curve under different states are analyzed, and six time-domain features, i.e. peak value, average value, variance, kurtosis, skewness and pulse factor, are extracted as the input of neural network model. The simulation results show that the method can reach a relatively high accuracy in identifying the occurrence of a fault and classifying the exact fault type, which provides a reference for the maintenance of the disconnector.
Keywords
High-voltage disconnector,dynamic simulation,torque features,fault diagnosis
Speaker
Kaipu Zhang
School of Electrical Engineering; Southwest Jiaotong University

Submission Author
Sheng Lin School of Electrical Engineering; Southwest Jiaotong University
Kaipu Zhang School of Electrical Engineering; Southwest Jiaotong University
Qi Wang School of Electrical Engineering;Southwest Jiaotong University
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Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST