Fault Analysis of High-Voltage Circuit Breakers Based on Coil Current and Contact Travel Waveforms Through Modified SVM Classifier

Fatemeh Nasri Rudsari, Ali Asghar Razi-Kazemi, Mahdi Aliyari Shoorehdeli

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

High-voltage circuit breakers (HVCBs) play a substantial protection role in power networks. The reliable operation of these critical components leads to an increment of resiliency and safety of power systems. It is essential to design a fault diagnostic system that detects the defects in preliminary levels and identify the origins to establish a precise maintenance task. This paper focuses on coil current and contact travel waveforms as significant signals that bear helpful information about the fault occurrence for a typical EDF, 72.5 kV, SF6 HVCB. Healthy and faulty signals simulated based on Michael Stanek's HVCB model in MATLAB, with performing some modifications in the actuating coil and operating mechanism. In the first step, to arrange an efficient fault recognition system, neural network and support vector machine (SVM) have been designed using the information of 475 simulated healthy and faulty HVCBs and verified for 200 new samples. In the second step, to improve the classification results, an additional distinction algorithm has been recommended for the cases in which two failure modes are detected by the classifier. Since any failure mode's impact on the selected features is different, the proposed diagnostic method makes a decision, between two classes of faults, based on the extracted pattern of each failure mode. The recommended method, which is a combination of commonly used classification techniques and the defined algorithm, leads to the more accurate diagnosis.
Original languageEnglish
Pages (from-to)1608-1618
Number of pages11
JournalIEEE Transactions on Power Delivery
Volume34
Issue number4
Early online date6 May 2019
DOIs
Publication statusPublished - Aug 2019

Keywords

  • Circuit faults
  • Mathematical model
  • Support vector machines
  • Fault diagnosis
  • Circuit breakers
  • Sulfur hexafluoride
  • Springs
  • support vector machine (SVM)
  • SF high voltage circuit breaker (HVCB)
  • model-aided diagnosis
  • fault signature

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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