An Intelligent Planning-Based Modeling Method for Diagnosis and Repair

Algorithm 4

Rec1.

Input: Model with fault label

Real-time observation sequence

Current diagnostic results

Output: Repair path

1. Initialization:

2.

3.      //Get the final state of the trajectory

4.  

5.       //Select the control event with maximum adding effect

6.       //Update status and delete faults

7.        //Record a sequence of controllable events

8.        //If it cannot be expanded

9.         //Backtrack and recover failures

10.    

11.          //If there is no path to full recovery

12.          //Choose the diagnosis with the greatest heuristic value and quit multi-fault repair

13. else

14.        //Get the final state of the path

15.  

16.         //Get the repair status of the path

17.   

18.    Return Fail       //If the repair path cannot be found, fail to exit