To further improve the management rate of working data for power transformer and working efficiency of condition monitoring system in the smart substation
a comprehensive analyzing system of transformer vibration and noise monitoring system is designed and developed based on the actual demand of transformer vibration and noise monitoring
where data management mobile technology and algorithm embedding technology are analyzed. In the proposed system
the Client/Server mode
ADO. NET and MATLAB hybrid programming are adopted with the Oracle database as the background database. Hence
the developed system is capable of reading and storing the massive monitoring data of vibration and noise with high efficiency. Moreover
vibration and noise signals processing algorithms are embedded to extract the features of the monitored signals of transformer under stable operation and sudden short-circuit impact
which is helpful to condition assessment of the transformer in operation. The operation results of the developed system have verified its feasibility and effectiveness.