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To achieve accurate identification of stator winding inter turn short circuit fault behavior and ensure the stable operating state of asynchronous motors, a Lyapunov theory based stator winding inter turn short circuit fault detection system for asynchronous motors was designed. In the DSP peripheral power circuit, an ARM processor and a stepper motor drive module are installed, and an analog-to-digital conversion unit structure is adopted to adjust the real-time operation status of the power mutual inductance device, achieving the hardware design of the asynchronous motor stator winding inter turn short circuit fault detection system. Based on the Lyapunov function definition conditions, the range of Nussbaum gain parameters is determined. On this basis, a Lyapunov algorithm model is defined. Then, by calculating the fault prediction characteristics, the short-circuit fault voltage equation and inter turn inductance parameters of the stator winding are solved, and the inter turn short-circuit fault characteristics of the stator winding are analyzed to achieve asynchronous motor stator winding inter turn short-circuit fault detection. The experimental results show that the designed system can effectively control the difference level between the current and voltage detection results of stator winding inter turn short circuit faults and the standard detection results, accurately identify the behavior of stator winding inter turn short circuit faults, and ensure the stable operation status of asynchronous motors.