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Fault Diagnosis in a Large Dynamic System: Experiments on a Training Simulator

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2 Author(s)
Yuan-Liang Su ; Center for Man-Machine Systems Research, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205, USA ; Govindaraj, T.

Fault diagnosis performance of expert trainees was investigated using a low-fidelity marine powerplant simulator. Based on experimental data, the diagnostic process was divided into two stages: 1) hypothesis formation and 2) hypothesis evaluation. Hypotheses were formed based on feasible set of symptom-case pairs. Performance was related to the initial feasible set (IFS) and the transition strategy for stage-shifting. Subjects used either a breadth-depth strategy where a hypothesis was thoroughly checked after a broad search for hypotheses, or a balanced strategy where several hypotheses were formed quickly and maintained at the same time. Good IFS and breadth-depth strategy resulted in better performance that bad IFS and balanced strategy.

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:16 ,  Issue: 1 )