Analysis of Automatic Inspection and Detection Methods for Abnormal Power Data
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.
automatic inspectionturbulence datacluster analysissimilarity measurement methodHR valueabnormal power data
万方数据
维普
