Design of Online Monitoring and Intelligent Early Warning System for Oil Immersed Power Transformers
This paper describes the design of an online monitoring and intelligent warning system for oil immersed power transformers.The system integrates temperature sensors,dissolved gas analyzers(DGA),and load current monitoring devices,which can monitor 8 key performance indicators of transformers in real time,including data collection,data mining,parameter prediction,and fault warning.When an abnormality is detected,the system can automatically identify the fault mode and trend,and issue a warning.
oil immersed power transformeronline monitoringintelligent warning systemreal-time data analysis
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