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Based on monitoring data, the running state of key components about air springs ,resist sinusoidal vibration absorber and transverse shock absorbers damper of high-speed train were estimated. Aiming at Lateral acceleration for high-speed train bogie in fault, and a typical non-stationary complex vibration signal, a running state estimation method of combining IMF energy moment and improved Hyper-sphere support vector machines methods was proposed. The improved Hyper-sphere support vector machines methods based on improved samples in different parts with different classification policy. Experimental results show that under different speeds.the high speed train recognition rate of damper fault are steady at 87% above .It proves that the improved method can be used to extract the characteristics of the fault condition, and can estimate running state of the high-speed train effectively.