摘要
针对单个神经网络的不足 ,以信息融合技术为基础 ,建立了集成神经网络故障诊断系统。该系统采用子神经网络从不同侧面对设备进行初步诊断 ,然后将各子神经网络进行决策融合。通过对水轮发电机组的应用仿真 ,说明该系统充分利用了各种信息 ,提高了确诊率。
With an aim at the disadvantages of single neutral network, this paper sets up integrated neutral-network fault-diagnosis system based on information fusion technology. The system adopts the sub-network to diagnose preliminarily from different sides of the equipment, and then gets combination of the sub-network decisions. The simulation of hydraulic turbine-generator set's fault diagnosis demonstrates that the system takes full advantages of diversified information and improves diagnosis precision.
出处
《中国农村水利水电》
北大核心
2005年第1期100-102,共3页
China Rural Water and Hydropower
关键词
故障诊断
水轮发电机组
集成神经网络
信息融合
fault diagnosis
hydraulic turbine-generator set
integrated neutral network
information fusion
