摘要
由于维修技术的改进 ,按计划检修的制度已不适用 ,状态监测方法正被引入水电厂设备维修中来。叙述了状态监测的原理和系统的构成 ,着重介绍了状态监测技术中的信息采集和处理、设备状态的分析方法、预测和诊断、专家系统及智能技术应用 ,认为水电厂设备状态监测系统的关键在于预测模型和专家知识库的建立 ,并应建立有关量化判据的标准。
With the technological improvement of maintenance. the policy of plan based maintenance is not suitable anymore.Instead, condition based maintenance (CBM) is being introduced into the area of hydropower plant equipment maintenance.The paper describes the principle and structure of CBM system. It introduces the method and technology in the aspects ofsignal sampling and handling, equipment condition analyzing, predictive and diagnosis model building. intelligent diagnosticrule construction and perfection in the application. In all these, the key is the construction of predictive model and expertrules. Standard number to judge the condition should be made.This project is supported by National Science and Technology Key Project (No. 97-312--06-l-7).
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第10期45-48,共4页
Automation of Electric Power Systems
基金
国家重大科技攻关项目! (97- 31 2 - 0 6 - 1 - 7)
关键词
水电厂
状态监测
设备
监控系统
计算机
hydropower plant
condition monitoring
predictive maintenance
expert system
diagnosis model
