摘要
研究了凝汽器故障诊断问题。选取了32个故障征兆作为模型的输入,建立了基于最小二乘支持向量回归机的凝汽器故障模型。将所提出的故障诊断方法应用于某发电厂300MW火电厂仿真机凝汽器的故障诊断中,结果表明该方法行之有效,且易于工程实现。
The fault diagnosis of condenser was considered. A scheme for diagnosing fault is presented based on least squares-support vector machine for regression （LS-SVMR） with 32 fault symptoms as input vectors. Finally,the faults in a condenser of a 300MW thermal power plant simulator are diagnosed with the aid of the presented method, and the result of diagnosis shows that it is effective and easy to be put into practice.
出处
《汽轮机技术》
北大核心
2010年第2期130-132,136,共4页
Turbine Technology
基金
国家重点基础研究发展规划基金项目(2007CB206904)
关键词
凝汽器
最小二乘支持向量回归机
诊断模型
仿真机
condenser
least squares-support vector machine for regression
diagnosis model
simulator
