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Modeling of cable fault system

机译:电缆故障系统建模

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Modeling is the essential part of implementing the prediction and location of three-phase cable fault. To predict and locate cable fault, a model of three-phase cable fault system is constructed based on a great deal of measured validation data by choosing BP neural network that has nonlinear characteristic and using the unproved BP algorithm, Levenberg-Marquardt data-optimized method. It is shown by the simulation using MATLAB software that the parameters of the model converge rapidly, and the simulated output of the neural network model and the measured output of cable fault system are approximately equal, and the mean value of the relatively predictive error of the fault distance is smaller than 0.3%, so that the model quality is reliable.
机译:建模是实现三相电缆故障的预测和位置的重要组成部分。为了预测和定位电缆故障,通过选择具有非线性特性的BP神经网络和使用未制造的BP算法,Levenberg-Marquardt数据优化方法,基于大量测量的验证数据来构建三相电缆故障系统模型。 。使用MATLAB软件的模拟示出了模型的参数迅速收敛,并且神经网络模型的模拟输出和电缆故障系统的测量输出大致相等,并且相对预测误差的平均值故障距离小于0.3%,因此模型质量是可靠的。

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