摘要
提出了一种基于时间序列和聚类的设备状态判断方法。介绍了傅立叶变换在信号特征提取技术上的应用。以电厂中阀门和风、烟挡板为例,通过对大量数据时间序列和聚类分析,实现了这些设备的状态判断。
A method, based on time series and clustering, for adjudging equipment＇s condition is being proposed. The application of Fourier transformation, in the extraction technique of signals characteristics, is being explained. Taking valves, air flaps and flue gas baffles as examples, their condition can be adjudged by time series and clustering analysis of large numbers of data.
出处
《发电设备》
2007年第4期304-307,共4页
Power Equipment
关键词
能源与动力工程
电站设备
状态判断
时间序列
聚类
energy and power engineering
power plant equipment
condition adjudgement
time series
clustering
