A New Method of Fault Diagnosis Based on Attribute Significance of Multi-field Experts Database
HU Bi-jin · Jisuanji fangzhen · 2007
Based on attribute significance of rough set and integrated technology of experts database, a new method of fault diagnosis for complex systems is researched. First of all, the attribute significance model of experts database is presented by combining integrated system of multi-field experts and assignment rule of fault state with attribute significance concept in rough set theory. Secondly, a network model based on multi-field experts database is constructed, which can be used to monitor the dynamic systems in real-time and diagnose fault. The presented method has been used in the fault diagnosis of complex systems and good results have been achieved.