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Low-voltage DC circuit breaker is one of the most important switch devices for controlling and protecting power system, which is reliable operation related to the safety and stability of the power system.Therefore, It is of great significance to diagnose the fault of Low-voltage DC circuit breaker for improving the reliability and stability of the power system. First, a low-voltage DC circuit breaker signal monitoring and acquisition platform is built. And then the characteristic quantities of mechanical vibration signals and coil current signals of circuit breakers during opening and closing are extracted as samples for training and fault identification. Finally, the fault diagnosis effect of SVM on current and vibration feature vector is studied. The results show that: SVM can realize the fault diagnosis of low-voltage DC circuit breaker, and the diagnosis effect is better when the vibration signal and current signal are combined.