摘要
在分析国内水电厂状态监测技术现状后 ,提出了一种基于神经网络和专家系统相结合的状态监测系统 ,并引入了子神经网络和数据融合技术。重点介绍了该系统的框架和相应的功能模块。
After analysis of the current techniques of computerized monitoring and control systems of hydropower plants in China, a new computerized monitoring and control system based on elegant incorporation of expert system with neural network is put forward. Furthermore, multi neural network and data fusion techniques are also introduced into the system. In this paper, the system framework and its corresponding function modules are introduced in detail.
出处
《水电自动化与大坝监测》
2002年第3期17-22,共6页
HYDROPOWER AUTOMATION AND DAM MONITORING
关键词
神经网络
专家系统
水电厂
监测系统
monitoring and control system
neural network
expert system
data fusion
