尤其较好地解决了高阻抗非线性故障的识别问题。
Especially it solves the identification problem of high impedance fault well.
基于径向基函数神经网络，建立了大坝安全自动化监测的非线性故障自诊断系统。
Based on the Radial Basis Function neural network, a kind of fault auto-diagnosis system of dam safety monitoring is established.
论述了延时嵌入相空间重构方法及其伪相图的获取技术，将这一方法用于大机组非线性故障的定性特征提取。
The theory of phase space reconstruction with time delay embedding is explained comprehensively in this paper, and used to extract qualitative features of nonlinear fault in large rotating machinery.
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