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由于同杆双回线发生故障时两回线之间存在非线性耦合,故用传统方法无法对同杆双回线进行故障判定,而径向基神经网络可通过故障线路相关电压和电流对线路故障进行准确分类,网络输入样本在不同故障发生地点、发生时间、过渡电阻情况下得到.仿真结果表明该网络能进行同杆双回路故障判定.
同杆双回路故障类型判定新方法
【摘 要】
：
由于同杆双回线发生故障时两回线之间存在非线性耦合,故用传统方法无法对同杆双回线进行故障判定,而径向基神经网络可通过故障线路相关电压和电流对线路故障进行准确分类,网
【出 处】
：
中国电力
【发表日期】
：
2004年期
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