To effectively solve the problem that the accuracy of traditional modeling methods decreases dramatically when the performance of an aircraft engine is degraded, a high-fidelity modeling method for aircraft engine degradation tracking is proposed. First, based on partial engine sensor data, a static digital model of the engine is constructed, which aims to track the output of the engine sensors at the current moment. Then, the principle and implementation of updating the engine static digital model using this framework are analyzed in details. The performance compared with engine static digital model before the update. Experimental results on the N-CMAPSS dataset demonstrate the significant effect of the proposed method on both engine model updating and degradation tracking.