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The stall during the starting process of aircraft engines is a direct influencing factor on the success rate and safety of engine starting. To ensure the safety of engine operation, a stall detection system for aircraft engine starting process based on wavelet analysis is designed. Design sensors for aircraft engine speed and flow rate to meet the operational requirements of wavelet analysis technology. Adjust the internal structure of the working signal processor, modify the main control unit of the system, adjust the connection method of the system circuit, and complete the optimization design of the hardware part. Build a detection system database from both logical and physical aspects. Determine the detection criteria for stall phenomenon by simulating the starting process of aircraft engines. Using sensor devices to collect working data during the starting process of aircraft engines, utilizing the transformation and decomposition operations of wavelet analysis technology to process the working data of aircraft engines, and achieving the stall detection function of the system during the starting process of aircraft engines through the extraction and matching of working features. Through system testing experiments, it is concluded that in ideal and non ideal scenarios, compared with the current stall detection system, the optimized design system reduces the speed detection error by 109.4r/min and 128.1r/min, respectively, and the stall false detection rate is reduced by 10% and 25%, indicating good application performance.