Structure Design of Intelligent Fault Diagnosis System Based on Data Mining

Abstract

To solve the limitations of intelligent fault diagnosis system, a new intelligent fault diagnosis method based on data mining is presented. After a brief discussion of the general structure of Intelligent Fault Diagnosis System based on Data Mining (IFDSDM), the function of its subsystem is described, followed with the structure of knowledge base and the method of knowledge representation. IFDSDM efficiently integrates the knowledge acquisition, reasoning mechanism, IKDD (improved knowledge discovery in databases system) mining and Web-based open fault diagnosis system into IFDS. Thus, IFDSDM is a new type of integrated intelligent fault diagnosis system with two networks and six bases. It improves and expands the function of conventional IFDS. What's more, it overcomes some of the limitations of IFDS.