Current transformer fault data analysis and prediction system based on big data

The invention discloses a current transformer fault data analysis and prediction system based on big data. The current transformer fault data analysis and prediction system is characterized by comprising an interaction data end, a data processing and analysis server and a comprehensive storage datab...

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1. Verfasser: XIANG HONGXIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a current transformer fault data analysis and prediction system based on big data. The current transformer fault data analysis and prediction system is characterized by comprising an interaction data end, a data processing and analysis server and a comprehensive storage database, wherein the interaction data end comprises a data input end (1) used for inputting previous transformer fault data and a result output end (2) used for outputting an analysis and prediction result; the comprehensive storage database comprises a statistical rule storage server (4) and a statistical data storage server (5); and the data processing analysis server comprises a matrix calculation processor (6). The system has the advantages that a data theoretical basis can be provided for overhaul and maintenance of project management personnel, timely first-aid repair can be arranged according to the fault type of the current transformer, power grid outage maintenance time caused by the fault of the current trans