Abstract:

The traditional fault diagnosis methods have the shortcomings that the diagnosis speed is slow and it was hard to accurately fix the faults taking place at one time when it is diagnosing the complicated system or equipment，a design which mixes the expert system and neural network together is proposed, and a fault diagnosis expert system is established based on artificial neural network. The high-speed diagnosis for faults taking place is realized by theoretical analysis and emulation experiment, and the results show that this fault diagnosis method is effective to solve the issue， and provides an effective amelioration method for keeping equipment reliable and efficient displaying functions.

Key words: fault diagnosis, neural network, expert system