Abstract: In order to realize the prediction of mechanical life of energy storage operating mechanism of low-voltage conventional circuit breaker and improve its operation reliability, a life prediction method based on multi-feature fusion of electromechanical signals is proposed. Firstly, the action process of energy storage operating mechanism is analyzed, the degradation state information of energy storage operating mechanism is reflected from multiple angles of current and vibration signals, multiple degradation features in time domain and frequency domain are extracted combined with the signal characteristics, and the key degradation features with high correlation are obtained. On this basis, based on the statistical analysis of key degradation features, the effective determination of degradation process is realized. Finally, the key features are fused to obtain a comprehensive health index, which is used as the input of the unitary regression exponential model after entering into the degradation period, so as to realize the quantitative prediction of the remaining mechanical life. The test results of three samples show that the mean absolute error of life prediction is less than 35 times and the mean relative error is less than 11.7%. This method not only can be utilized to effectively improve the accuracy of life prediction but also has engineering practicability.