A test sequencing optimization method for fault diagnosis of engineering systems

In order to solve the test sequencing problem in fault diagnosis, an optimal test point selection and test sequencing optimization algorithm are proposed. Based on the improved multi-signal model and using the information entropy algorithm as the heuristic function, a test sequencing optimization algorithm with one step backtracking is proposed and validated on the multi-signal model of the hydraulic AGC system. The example shows that the algorithm can isolate the fault states with less test cost.