为防止电压恢复时电机自行启动或电器元件自动投入工作而设置的保护
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.
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.
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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