Considering that the difference in spatial motion characteristics is more direct to the mechanical property degradation, and the vibration signal contains rich mechanical state information, a circuit breaker health state identification method is proposed using vibration signals to characterize spatial motion properties. First, the displacement signal is used to obtain the motion characteristic parameters that can reflect the mechanical state of the key mechanism. Secondly, the AFF-AAKR is utilized to construct motion-characteristic health indicators offline. Then, multi-domain feature parameters are extracted based on the characteristics of the three-dimensional vibration signal in the key action phase. The features with higher correlation are selected for hierarchical clustering and the mutual information with the motion characteristics is calculated to achieve the key degradation feature vectors with strong characterization ability of the motion characteristics. Finally, the degradation feature vectors are used as the input and the health indicator of motion characteristics is used as the output to construct a 1D-CNN performance degradation regression model. In this way, the health state identification of the energy storage mechanism is realized. The example validation shows that the three-dimensional vibration signal fits the motion health indicator better than the one-dimensional vibration signal, and the regression analysis RMSE is 0. 018 6 and MAE is 0. 011 2, which can accurately identify the health status of the circuit breaker.