摘要
将遗传神经网络引入水电机组的故障诊断中,建立基于遗传神经网络的水电机组故障诊断模型,通过Matlab的相关工具箱进行仿真.结果表明遗传神经网络诊断的正确性高于BP网络.
A fault diagnosis model of hydroelectric units based on genetic algorithm neural network is established by applying genetic algorithm neural network in the field of fault diagnosis.The simulation for the fault diagnosis model is implemented with corresponding toolboxes of Matlab.Results show the genetic algorithm neural network fault diagnosis model is better than BP neural network model in terms of precise.
出处
《襄樊学院学报》
2010年第8期13-15,共3页
Journal of Xiangfan University
关键词
故障诊断
神经网络
遗传算法
水电机组
Fault diagnosis
Neural network
Genetic algorithm
Hydroelectric units
