Fault Diagnosis Technologies Based on Artificial Intelligence for Complex Process
Xiaoying Liu · Basic Automation · 2002
Owing to many factors, great fluctuations and intricate reactive mechanism of complex process, it is hard to get the satisfied results by the traditional fault diagnosis methods. In allusion to the characteristics of complex process,without object precise model, this paper studies the fault diagnosis technologies based on artificial intelligence, and analyses the pivotal technologies for construction of intelligent diagnosis system from knowledge acquisition, integrated model of shallow and deep knowledge and updating rules. In the end, future research direction is predicted about fault diagnosis technologies for complex process based on artificial intelligence, and problems that should be met are pointed out and discussed.