电力设备在线实时诊断技术的研究  

Research on on-line real time diagnosis technology of electric power equipment

作　　者：佟伟光[1] 张欣[1] 李卓铃[1] 史江萍[1] 

机构地区：[1]沈阳工程学院信息工程系,沈阳110136

出　　处：《沈阳工程学院学报（自然科学版）》2006年第3期257-259,共3页Journal of Shenyang Institute of Engineering:Natural Science

基　　金：辽宁省教育厅研究项目资助课题(200263361)

摘　　要：分析了电力企业数据采集、检测系统的现状;针对其缺乏故障诊断分析能力,离线、非实时,信息产生速度慢,输入不全或难于表达等弊端,介绍了采用自动信息检测技术与人工智能技术相结合,实现电力设备在线实时诊断的思想和方法;重点探讨了现场实时数据的采集、传输和处理,以及诊断模型、知识表达和推理机制的设计等关键技术.Analyzes the situation of data acquisition, inspection and test system of electric power enterprise;Aiming at the limitation such as lack of fault diagnosis and analysis ability, off - line, non- real - time, generation speed of information is slow, input is not complete, is difficult to expression, etc., introduces the idea and method that implementing on- line real time diagnosis of electric power equipment by combining automatic information inspection and test technology with artificial intelligence technology,emphatically discusses the acquisition, transmission and processing of on -the-spot real time data, as well as the key technology such as diagnosis model, knowledge expression, reasoning mechanism, and so on.

关 键 词：数据检测 在线实时诊断 专家系统 

分 类 号：TM733[电气工程—电力系统及自动化]