Information fusion based on neural network expert system in fault diagnosis system of biochemical analyzer

In the fault diagnosis field, the artificial intelligent information fusion technology is becoming an important research subject in recent years, which combines the artificial intelligence technology with the multi sensor information fusion, and is beneficial to solve the information fusion of inexact and uncertain information greatly, therefore the method of information fusion based on neural network, intelligent and expert system, become an important development direction. The article has introduced the research status and the existing problems of the fusion method which based on the expert system and the neural network. After a analysis and comparison between the expert system and the neural network, it would overcome their shortcomings and get better results by combining the two. As an application, it combined the neural network expert system for fusion method with specific medical diagnostic equipment - biochemical analyzer, and got the right trouble result by making a simulation experiment.