Abstract: The high-voltage circuit breakers in substations are used to cut off fault currents and ensure the safe operation of the power grid, so it is crucial to understand the working conditions of the circuit breakers. This article proposes a circuit breaker fault identification method based on shape-based weighted dynamic time warping(SWDTW). Firstly, the waveform characteristics of coil current during circuit breaker operation under different operating conditions were analyzed. Then, SWDTW is used to perform similarity analysis on the coil current waveform data, in order to achieve circuit breaker diagnosis. Finally, simulation has shown that the proposed method can effectively identify the fault type of circuit breakers, providing strong support for the reasonable handling of circuit breaker problems.