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.