Condition monitoring of circuit breakers using arc models and failure detection algorithm

Behnam Feizifar, Omer Usta

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

This paper presents a real-time condition assessment procedure for high-voltage circuit breakers (CBs). The simulation of CBs can be fulfilled using the existing arc models. These models can be used to characterize the transient behavior of CB after each operation. The transient signals originated by electric arcs contain several harmonics. Arc voltages can be effectively utilized to detect anomalies of CBs. Here, the total harmonic distortion (THD) index is considered in diagnosing the CB operating mechanism. The CB modeling and simulation are performed in the electro-magnetic transient program (EMTP) and the corresponding signal analyses are carried out in the MATLAB programming environment.
Original languageEnglish
Pages32-36
Number of pages5
DOIs
Publication statusPublished - 19 Apr 2017
Event2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG) - Istanbul, Turkey
Duration: 19 Apr 201721 Apr 2017

Conference

Conference2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)
CountryTurkey
CityIstanbul
Period19/04/1721/04/17

    Fingerprint

Keywords

  • circuit breakers
  • condition monitoring
  • electric arc models
  • total harmonic distortion
  • frequency measurement
  • voltage measurement
  • mathematical model
  • transient analysis
  • arcs (electric)
  • harmonic distortion

Cite this

Feizifar, B., & Usta, O. (2017). Condition monitoring of circuit breakers using arc models and failure detection algorithm. 32-36. Paper presented at 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), Istanbul, Turkey. https://doi.org/10.1109/SGCF.2017.7947631