KEYWORDS: Data centers, System identification, Detection and tracking algorithms, Web services, Logic, Databases, Reliability, Quality systems, Explosives, Data storage
Aiming at the problem that abnormal data in the data set greatly reduces the quality of data, this paper studies several existing mainstream methods of abnormal data identification and verification, and selects three kinds of abnormal data detection methods according to the characteristics of power quality basic data, including setting threshold discrimination method, data horizontal comparison method and improved K-MEANS algorithm. This paper also designs the power quality abnormal data identification and verification system, using the above three methods to identify and verify the power quality abnormal data.
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