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In the process of using gear, over load operation or long-term exposure to bad environment will have an adverse impact on the normal operation of the gear, resulting in gear failure and unable to operate. The failure forms of gears mainly include broken teeth fault, tooth surface pitting, gear wear, etc. in addition, there are inherent errors in the gear manufacturing process. The traditional gear fault diagnosis usually uses vibration acceleration sensor or SCADA data for processing, but the vibration acceleration sensor and SCADA are usually expensive, and there will be a lot of data redundancy, which is not convenient for later signal processing. In this design, a synchronous compression Cross Wavelet Transform algorithm is proposed. Based on the analysis of gear fault mechanism, a fault diagnosis experimental device is designed to extract the fault characteristics of normal gear, broken gear and wear, so as to accurately diagnose the fault. After verification, this method has a high diagnosis accuracy.