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1)  fault judgement ratio
故障判别率
2)  fault distinguishing
故障判别
1.
An artificial neural network for fault distinguishing by sampling halve is presented,and the pretreatment data are amplified.
介绍了一种基于二等分取样,并将预处理数据放大的故障判别神经网络。
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3)  Judging fault
判别故障
4)  Comfirmation of failure phase
故障相判别
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5)  Fault judgement matrix
故障判别矩阵
1.
The algorithm forms the network describing matrix D on basis of the connection of the switches and the power flow directions between two adjacent switches,then the fault judgement matrix D p is formed by adding the field terminal unit(FTU)information about the fault overcurrents and their directions to the diagonal of the former describi.
从 FTU得到有关故障过电流及其方向的信息 ,并加入到 D中对角线元素上 ,就可以得到故障判别矩阵 Dp。
6)  Frouble judgement criterion
故障判别准则
补充资料：电导率(见电阻率)


电导率(见电阻率)
conductivity

d!日nd日O}已电导率(eonduetivity)见电阻率。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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