Aiming at the problems of poor real-time performance and low efficiency for airborne equipment fault diagnosis, a DWT-SVM fault diagnosis implementation method based on DSP+FPGA architecture is proposed.Firstly, the time-frequency domain characteristics of the sensor data are extracted, and the fault feature vector is constructed.Then the support vector machine is used to realize the fault diagnosis of the airborne equipment.The PHM platform based on DSP+FPGA heterogeneous computing architecture is designed.The embedded computing based on DWT-SVM fault diagnosis algorithm is implemented, which provides a solution for the accelerated calculation of airborne equipment fault diagnosis algorithm.The experimental results show that the efficiency of the on-board equipment fault diagnosis acceleration calculation is 5.63 times of that of the PC platform, while the power consumption is only 17.7% of the PC platform.