For the promotion of applications and development of big data of electrical power

in this pa-per

the influence of power quality on electrical equipment is set as objective

the fault statistics data of electrical equipment and monitoring data of power quality is combined

the correlation analysis of multiple dimension data is developed and the influence of power on equipment is treated from the point view of data analysis under the principle of big data application and instruction of big data thinking. Firstly

the existing data constitution is analyzed

and correlation analysis is defined. Then

the correlation analysis method and flow is analyzed. Finally

the correlation analysis result is analyzed in detail

it is concluded that there is a correlation between the capacitance/reactor fault statistics and the power quality monitoring data

and it has significant correlation with the voltage deviation

the total harmonic distortion rate of voltage and the 3rd harmonic voltage is existed. The priori knowledge about the influence of power quality to the equipment of power grid is verified by the data analysis and the data is transferred into the useful information so to achieve the value of big data of electric power.