This paper describes the use of a power data collection model to automate the collection of power data,identify and process bumpy data,extract abnormal features of power data through clustering analysis,match power data with normal power data using similarity measurement method,and detect power data that is dissimilar to normal data through inspection,thus completing the automatic inspection and detection of power abnormal data.
关键词
自动稽查/颠簸数据/聚类分析/相似度测度法/HR值/电力异常数据
Key words
automatic inspection/turbulence data/cluster analysis/similarity measurement method/HR value/abnormal power data
维普
万方数据