Sequential Fault Diagnosis with Double Layer Uncertainty

In this paper, the sequential fault diagnosis problem considering double layer uncertainty is studied. Test uncertainty is divided into inherent uncertainty and observation uncertainty, where the latter may vary from one tester to another. How to carry out diagnosis inference given the uncertain test result and the strategy to select the best test at each step are formulated in detail. Simulation and comparison are carried out to test the proposed method. The result shows that the method presented in this paper can reduce the false isolation rate compared to the previous one. It is more flexible and has a good application prospect.