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基于神经网络和专家系统的水电厂状态监测系统
引用本文:杨廷勇,施冲. 基于神经网络和专家系统的水电厂状态监测系统[J]. 水电自动化与大坝监测, 2002, 26(3): 17-22
作者姓名:杨廷勇  施冲
作者单位:国家电力公司电力自动化研究院,江苏省南京市,210003
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。

关 键 词:状态监测系统; 神经网络; 专家系统; 数据融合
收稿时间:1900-01-01
修稿时间:1900-01-01

COMPUTERIZED MONITORING & CO NTROL SYSTEM OF HYDROPOWER PLANT BASED ON NEURAL NETWORK AND EXPERT SYSTEM
Yang Tingyong,Shi Chong. COMPUTERIZED MONITORING & CO NTROL SYSTEM OF HYDROPOWER PLANT BASED ON NEURAL NETWORK AND EXPERT SYSTEM[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2002, 26(3): 17-22
Authors:Yang Tingyong  Shi Chong
Affiliation:Nanjing Automation Research Institute, Nanjing 210003, China
Abstract: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.
Keywords:monitoring and control system   neural network    expert system   data fusion
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