基于神经网络调速系统故障诊断的数学模型

Mathematical Model of Fault Diagnosis of Governor System Based on Neural Network

水轮发电机的调速系统是水轮发电机进行负荷和频率调节的重要元件,对调速系统自身故障进行准确、快速的诊断十分必要.通过对调速系统运行,实验和故障特点的分析,引进先进的人工神经网络的方法,建立了一种新型的调速系统故障诊断莫型,对生产实际有很大帮助.

The governor system of hydro-generator is an important component that engages in regulating load and frequency. And it is very necessary that accurate and high-speed diagnosing the governor system fault itself. This thesis has led in advanced method of artifical neural network via analysis of running, testing and fault characteristic in governor system, and established a new model of fault diagnosing system for goveruor. There is much help to practice.