Application of VPRS model in fault diagnosis expert system
Dengyin Zhang · 2003
A variable precision rough set model approach was proposed for knowledge acquisition and update of fault diagnosis expert system. Knowledge reduction with variable accuracy β, and regular conditional entropy were utilized for the knowledge acquisition to establish the knowledge base. The maintenance and update of the base were realized by the relative dependency. Simulation of rolling bearings fault diagnosis illustrates that the approach can compensate for the defects of rulebased ES and carry out the fault diagnosis effectively.