Decision-making in Multi-fault State Complex System Based on Ant Colony Algorithm

Fault-tree technology is widely used in fault diagnosis field. But in the case of big and complex system, fault patterns and tree branches would be increased greatly. As a result, the relationships between fault phenomena and fault reasons will become complex. This brings big trouble for the process of diagnosis. To tackle this problem, a new intelligent algorithm called ant colony algorithm is introduced. With its outstanding characters of algorithm, the optimal test sequence can be achieved.