VPRS Approach to Knowledge Acquisition for Fault Diagnosis Expert System
Zhang Dengfeng · Journal of Nanjing University of Science and Technology · 2004
In order to solve the problem of knowledge acquisition for fault diagnosis expert system, a variable precision rough set approach is proposed. Regularly conditional entropy and mutual information entropy are employed in the evaluation of fault features. The simplest diagnostic knowledge is acquired by variable precision rough set theory to construct the ES knowledge base. Simulation experiment of fault diagnosis of rolling bearings showes the effectiveness and the superiority of the proposed method.