应用神经网络识别变励磁电压判据的动作区，提出应用神经网络的发电机低励失磁保护方案。

Then the author uses a three-layer ANN to distinguish excitation-loss fault, and brings forward a scheme of excitation-loss protection using ANN for generator.

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根据失磁过程机端电压特性和励磁电压变化特性，提出了一种综合的、较为完备的计算机失磁保护方案。

According to the impedance characteristics of the generator and the characteristics of the change of excitation voltage, a relatively self - contained and integrated scheme is proposed.

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因此，作为失步保护后备的低电压保护也应具有反时限特性。

Thus, low voltage protection devices, served as lock-out protection reserve will also have characters uf inverse time-lag.

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因此，作为失步保护后备的低电压保护也应具有反时限特性。

Thus, low voltage protection devices, served as lock-out protection reserve will also have characters uf inverse time-lag.

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