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ASME Press Select Proceedings

International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

In order to effectively achieve fault current detection for a hybrid circuit breaker, design a short-circuit current detection methods based on dynamic neural network, it applies the dynamic neural network to the fault current detection, uses historical memory effect of feedback neural networks to predict and compare the signals, can realize an effective short-circuit current fault detection. Using the Matlab neural network toolbox for simulation, simulation training samples generated by simulation, superpose multiphase harmonic components by single-phase fundamental frequency, similar sine function can be used instead when pre-digestion, the simulation results show that the method is effective and fast.

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