Combining the 3 parts above constructs the complete loss-of-excitation protection.
结合上面所述就得到了完整的失磁保护方案。
参考来源 - 基于人工神经网络的发电机失磁保护的研究·2,447,543篇论文数据,部分数据来源于NoteExpress
This paper, based on the dynamic experiments in the laboratory simulation model, gives a theoretical analysis on loss-of-excitation protection for large hydroelectric generators.
本文对大型水轮发电机失励磁保护,在动模试验的基础上进行了理论分析;论证了机组在失励和其他特殊运行情况下的基本特性;
It introduces the domestic existing partial or total loss of excitation protection criterion, analyzed the problem of existing criterion.
本文介绍了国内现有的典型低励失磁保护判据,分析了现有判据存在的一些问题。
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.
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。
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