Fault diagnosis of airborne equipment based on grey correlation fault tree identification method

In order to diagnosis the complex airborne equipment faults with small samples and feebleness condition, a grey correlation fault tree identification method is proposed by combining the grey system theory with fault tree analysis method. Firstly, on the basis of the fault tree qualitative and quantitative analysis by using binary decision diagram (BDD), the standard fault modes are constructed based on minimal cut sets, and the referenced fault mode is built based on the diagnosis importance factors of all basic events. Secondly, the grey correlation analysis is used to calculate the grey correlation degrees of all the standard fault modes with respect to the referenced fault mode, and the fault can be identified. Finally, a fault diagnosis example demonstrates the validity and practicability of the proposed method.