To solve the problem of poor energy aggregation effect of existing time-frequency decomposition methods for electromagnetic interference (EMI) signals. A combined EMI signal processing method based on the generalized correntropy criterion (GCC) and statistical tenets is proposed in this article. And it combines two signal processing methods, variational mode decomposition (VMD) and generalized S-transform (GST). First, the statistical characteristics of the target signal are analyzed and a suitable distribution model to describe the target signal is constructed. VMD is selected to process the target signal so as to obtain the corresponding sub-modes. Second, the GCC formula for the correlation coefficient matrix is derived, and the fitness function is constructed to minimize the spectral correlation between sub-modes. Then, the optimal number of sub-modes K obtained from the fitness function was used for VMD decomposition and GST reconstruction to obtain the final time-frequency distribution. The method is modeled and its performance is tested by using two target EMI signals and one artificial composite signal in real scenarios. The effectiveness and correctness of the proposed method in this article is verified through the comparison of its test results with those of the other classical methods.