Based on the Radial Basis Function neural network, a kind of fault auto-diagnosis system of dam safety monitoring is established.
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。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
This method can detect not only faults in primary substation, but also fault area in radial line between the primary substation and the secondary one (or switching station).
该方法不仅能够确定一级变电站的故障线路，而且能够在一级变电站与二级变电站(或开闭站)之间的辐射状线路上确定故障区域。
This paper Makes a deep research in the software and hardware realization of fault location system with radial feeders, stressing on the design of the hardware system and software programming scheme.
本文对基于“递进信息法”的配电网馈线故障定位系统的硬、软件实现进行了较深入的研究，重点设计了硬件系统和软件编程方案。
This paper proposes a new method for the fault line and fault area detection in radial neutral-point resonant grounded system.
提出了一种针对辐射状谐振接地系统确定单相接地故障线路及故障区域的新方法。
Meanwhile, by utilizing a radial base-function network based on a MATLAB environment established was a fault diagnostic model for the regenerative heating system.
同时利用基于MATLAB环境下的径向基函数网络，建立了回热系统故障诊断模型。
The radial basis function neural network has advantages over the BP network model in the aspects of network configuration, network performance and the network fault-tolerant performance etc.
径向基函数网络无论是在网络结构、网络性能还是网络容错性等方面都要明显优于BP网络模型；
Improving resolution to quantitatively evaluate wire rope local fault is very important. A new method for evaluating the local fault based on radial basis function is presented.
分析了提高钢丝绳局部缺陷定量检测分辩率的相关问题，提出了一种基于径向基函数网络的局部缺陷定量逼近新方法。
Improving resolution to quantitatively evaluate wire rope local fault is very important. A new method for evaluating the local fault based on radial basis function is presented.
分析了提高钢丝绳局部缺陷定量检测分辩率的相关问题，提出了一种基于径向基函数网络的局部缺陷定量逼近新方法。
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