Fault Current Detection Based on Neural Network in Hybrid Circuit Breaker

Yang Zhao; Yue Feng; Qi Yong Wen

doi:10.4028/www.scientific.net/AMR.204-210.887

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Fault Current Detection Based on Neural Network in...

Fault Current Detection Based on Neural Network in Hybrid Circuit Breaker

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.

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Periodical:

Advanced Materials Research (Volumes 204-210)

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887-890

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.887

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Online since:

February 2011

Authors:

Yang Zhao, Yue Feng, Qi Yong Wen

Keywords:

Current Detection, Hybrid Circuit Breaker, Neural Network (NN)

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References

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