Intelligent Failure Diagnosis for Gas Circuit Breakers Based on Dynamic Resistance Measurements

Mohammad Abdollah, Ali A. Razi-Kazemi (Corresponding Author)

Research output: Contribution to journalArticle

Abstract

Moving and fixed main and arc contacts used in circuit breakers (CBs) are prone to erosion with time and usage. Static resistance measurement and dynamic resistance measurement (DRM) are well-known noninvasive methods for the condition assessment of the contacts. Practically, the implementation of various failures on contacts of the CB is so difficult due to their placement in a high-pressure interruption chamber. This paper investigates the impacts of common failure modes such as erosion, disconnection, and misalignment of contacts on DRM profile through 3-D multiphysical simulation of the interruption chamber in the finite-element analysis software COMSOL. The model has been verified against experiments conducted on a 24-kV, SF₆ CB with a high-resolution scope. The measured profiles indicate that DRM exhibits specific behavior with respect to each failure, e.g., the arc contact erosion leads to a change in the commutation point in DRM. The results have been organized into an intelligent failure diagnosis algorithm based on a set of DRM-based features. In the end, the performance of the proposed algorithm which could be suitable for smart grids is evaluated in the case of an experiment.
Original languageEnglish
JournalIEEE Transactions on Instrumentation and Measurement
Early online date5 Nov 2018
DOIs
Publication statusE-pub ahead of print - 5 Nov 2018

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Electric circuit breakers
Gases
Erosion
Electric commutation
Failure modes
Experiments
Finite element method

Keywords

  • circuit breaker (CB)
  • condition monitoring
  • dynamic resistance measurement (DRM)
  • fault diagnosis
  • simulations

Cite this

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title = "Intelligent Failure Diagnosis for Gas Circuit Breakers Based on Dynamic Resistance Measurements",
abstract = "Moving and fixed main and arc contacts used in circuit breakers (CBs) are prone to erosion with time and usage. Static resistance measurement and dynamic resistance measurement (DRM) are well-known noninvasive methods for the condition assessment of the contacts. Practically, the implementation of various failures on contacts of the CB is so difficult due to their placement in a high-pressure interruption chamber. This paper investigates the impacts of common failure modes such as erosion, disconnection, and misalignment of contacts on DRM profile through 3-D multiphysical simulation of the interruption chamber in the finite-element analysis software COMSOL. The model has been verified against experiments conducted on a 24-kV, SF₆ CB with a high-resolution scope. The measured profiles indicate that DRM exhibits specific behavior with respect to each failure, e.g., the arc contact erosion leads to a change in the commutation point in DRM. The results have been organized into an intelligent failure diagnosis algorithm based on a set of DRM-based features. In the end, the performance of the proposed algorithm which could be suitable for smart grids is evaluated in the case of an experiment.",
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N2 - Moving and fixed main and arc contacts used in circuit breakers (CBs) are prone to erosion with time and usage. Static resistance measurement and dynamic resistance measurement (DRM) are well-known noninvasive methods for the condition assessment of the contacts. Practically, the implementation of various failures on contacts of the CB is so difficult due to their placement in a high-pressure interruption chamber. This paper investigates the impacts of common failure modes such as erosion, disconnection, and misalignment of contacts on DRM profile through 3-D multiphysical simulation of the interruption chamber in the finite-element analysis software COMSOL. The model has been verified against experiments conducted on a 24-kV, SF₆ CB with a high-resolution scope. The measured profiles indicate that DRM exhibits specific behavior with respect to each failure, e.g., the arc contact erosion leads to a change in the commutation point in DRM. The results have been organized into an intelligent failure diagnosis algorithm based on a set of DRM-based features. In the end, the performance of the proposed algorithm which could be suitable for smart grids is evaluated in the case of an experiment.

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