摘要
对凝汽器传热端差的各个主要影响因素及它们之间的关系进行了分析。将关联规则挖掘技术应用于凝汽器运行数据的分析,获得了有益的分析结果。对挖掘结果的分析表明,该技术可用于凝汽器的性能分析、状态监测、故障诊断和状态检修等方面,很有意义。
The factors influencing the heat transfer end difference of the condenser are analyzed, as well as the relations among the factors. The association rule mining was used to analyze the operational data of the condenser, and valuable results were obtained, showing that the technology can be applied to the performance analysis, condition monitoring, fault diagnosis, and condition maintenance of the condenser.
出处
《华东电力》
北大核心
2007年第10期24-26,共3页
East China Electric Power
基金
陕西科技大学自然科学基金项目资助(ZX05-29)
关键词
凝汽器
端差
数据挖掘
关联规则
condenser
end temperature difference
data mining
association rule
