Fault diagnosis of aircraft brake system using gaussian bayesian accelerated by FPGA

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In view of the fact that the traditional fault diagnosis methods of aircraft brake system cannot meet the requirements of accuracy and real-time property, a fault diagnosis algorithm based on Gaussian Bayes accelerated by FPGA is proposed. In this method, the fault types are classified by Gaussian Bayesian probability algorithm, and the simulation of parallel model is established based on FPGA. The simulation results show that the diagnosis accuracy reaches 89%, and the algorithm speed under 100 MHz clock is 481 times that implemented by software, which ensures the classification accuracy and better real-time performance.