Abstract: Regular on- site testing is an elementary means to obtain real- time data and state of electromagnetic compatibility （EMC）of electronics systems. Nowadays，there is a lot of measured EMC data while the application of these data is insufficient. This paper puts forward the concept of EMC model synthesis. To carry out EMC data mining with measured electromagnetic data，we can build or modify models and synthesize variation rules of electromagnetic parameters of equipment and EMC performance of systems and platforms，then realize the information synthesis and state prediction. This paper studies the application of statistical algorithms and artificial neural network（ANN）in model synthesis. Operating flows and simulation results as well as measured data are presented. Relative research can support special measurement，active management and predictive maintenance, replenishment in the area of EMC.