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Fault current detection based on neural network in hybrid circuit breaker

  • Yang Zhao*
  • , Yue Feng
  • , Qi Yong Wen
  • *Corresponding author for this work
  • Harbin University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Power system short circuit and fault current detection circuit breaker is a hybrid produced the basis for action, rapid detection methods and effectiveness of a direct impact on the circuit breaker switch performance. In this paper neural network short-circuit fault current detection, the simulation results show that the method is effective and fast.

Original languageEnglish
Title of host publicationAdvanced Research on Industry, Information System and Material Engineering
Pages887-890
Number of pages4
DOIs
StatePublished - 2011
Event2011 International Conference on Industry, Information System and Material Engineering, IISME2011 - Guangzhou, China
Duration: 16 Apr 201117 Apr 2011

Publication series

NameAdvanced Materials Research
Volume204-210
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Industry, Information System and Material Engineering, IISME2011
Country/TerritoryChina
CityGuangzhou
Period16/04/1117/04/11

Keywords

  • Current detection
  • Hybrid circuit breaker
  • Neural network

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