摘要
针对现有的汽轮发电机组振动故障的模糊诊断系统精度低这一问题 ,分析了造成其精度低的主要原因 ,提出了新的诊断策略。新策略在模糊综合评判模型的确定和模糊集隶属函数的设置这两个方面 ,采用与以往的诊断系统具有实质性不同的技术来实现模糊诊断系统 ,即基于模糊综合评判的变权重模型和模糊集扩展隶属函数的实现技术。在此基础上 ,采用新策略设计和实现了2 0 0 MW汽轮发电机组振动故障的模糊诊断系统。系统的诊断结果表明 ,这一新的故障诊断策略对于 2 0 0
Aiming at the low accuracy of current fuzzy diagnosis system, the paper analyzes the main cause of the low accuracy, and then proposes a new diagnosis strategy based on the varying-weight model of comprehensive evaluation and expanded membership function for fault diagnosis. The new diagnosis strategy has some essential difference from conventional systems in evaluation model and definition of fuzzy membership functions. Based on the new diagnosis strategy, a fault diagnosis system for 200 MW turbo-generator set is designed and programmed. The application results prove that the original idea is effective in solving practical problems. This project is supported by Natural Science Foundation of Guangdong Province (No. 994227, 980874).
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第1期45-49,共5页
Automation of Electric Power Systems
基金
广东省自然科学基金资助项目! (9942 2 7980 874)
关键词
汽轮发电机组
故障诊断
扩展隶属函数
振动
模糊诊断系统
Electric fault currents
Fuzzy sets
Mathematical models
Problem solving
Strategic planning
