According to the scientific basis insufficient in the maintenance of secondary equipment of transformer substation, a status assessment model based on fuzzy comprehensive support vector machine (FC-SVM) is proposed. The online alarm information uploaded from integrated automation system and offline information in maintenance report is analyzed, an effective utilization and information extraction of various assessment factors is achieved by using fuzzy comprehensive assessment method (FCA), based on which, the secondary equipment status is assessed via SVM. Experiment analysis is carried out on four different kernel functions and radial basis function (RBF) is selected as the kernel function for the proposed model, finally. Experimental results show that the status assessment accuracy of secondary equipment is improved by using FC-SVM.