In order to monitor the parameter variation from the device aging or failure of the Boost converter, this paper proposed a parameter identification method based on the combination of data and mechanism. First, the discrete mapping model of the UC3842 controlled Boost converter is built. Then, through the collection of actual data and mechanism analysis, the converter parameters are identified with high speed and high reliability. Finally, the effectiveness and accuracy of the proposed method are verified by circuit simulation.