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ARC LIGHT FAULT IDENTIFYING DEVICE AND METHOD BASED ON PANORAMIC INFORMATION
ARC LIGHT FAULT IDENTIFYING DEVICE AND METHOD BASED ON PANORAMIC INFORMATION
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机译：基于全景信息的电弧光故障识别装置及方法
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摘要
The present invention relates to the technical field of power automation, and relates to an arc light fault identifying method based on panoramic information, thereby realizing arc light identification of a circuit breaker. By analyzing the characteristic change of current in a time domain and a frequency domain when an electric arc fault occurs, extracting an appropriate characteristic value as the input of an error back propagation (BP) neural network, detecting the electric arc fault by using the BP neural network, for the defect of slow convergence of the BP neural network, obtaining an initial weight value of the BP neural network by using a genetic algorithm, and accelerating the training convergence speed of the neural network, the output signal-noise ratio of the method is high, and thus, the accuracy and reliability of fault electric arc detection are improved.
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