Research on Diagnosability Design Method Based on Two-Stage Multi-Objective Optimization

In order to balance the inherent diagnosability of the system and the influence of test resources on the system, reduce the difficulty of system fault diagnosis, and make a better diagnosability design of the system, a diagnosability design method based on two-stage multi-objective optimization model is proposed in this paper. Firstly, a test optimization submodel and a test resource optimization submodel are established. In the establishment of the two submodels, the diagnosability of each fault in the system and the benefit of test resources to the system are considered respectively, so as to achieve the goals of easy diagnosis of system faults and low cost and good benefit of system testing. Then, the binary multi-objective optimization algorithm is used to solve the model. The momentum wheel example shows that compared with the previous diagnosability design methods, the proposed method can take into account the diagnosable design of the system and the testing cost, and give a reasonable diagnosable design scheme. The method is more effective and practical for the diagnosable design of the system.