appropriate and effective use of fault diagnosis technology can heighten greatly the using life of all kinds of complex systems, reduce the maintenance expenses. The technology based on the nueral network and the one based on the fault tree model are two different kinds of diagnosis technologies that are more applied now, and each has its own advantages and disadvantages. This paper makes use of advantages of both technologies to construct the fualt diagnosis expert system based on the nueral network and the fault tree. After introducing the basic theory knowledge and diagnosis idea of two kinds of intelligent diagnosis technologies, the paper takes control box faults of a certain digital control system as an example to simulate and train, and give the expert system model. The training results show that the method can be more accurate and quick to make fault dignosis and orientation, and has a better fault diagnosis effect.
In REF , the authors make use of advantages of the neural network and the fault tree to construct the fault diagnosis system.
Research on Fault Diagnosis Expert System Based on the Neural Network and the Fault Tree Technology
Procedia Engineering
Engineering