Fault diagnose method of cement rotary kiln based on Rough Set Theory

Rough Set Theory is a new kind of mathematical tool in recent years, aiming to deal with the information data that are fuzzy, uncertain and incomplete. As a novel method of soft computing, it can simplify the information of the knowledge system so effectively that it is widely used in the fields of pattern recognition, data mining, intelligent control and decision analysis. Applying the data mining technology of the rough set theory on the collected data, a fault diagnosis system is established in this paper to analyze and solve the common faults in a rotary kiln system during the cement production. Experiments show that the diagnosis system can effectively diagnose the problems of cement rotary kiln, confirming the feasibility and effectivity.