Study on Attribute Reduction of Rough Set Based on Particle Swarm and CNC Machine Fault Diagnosis
Zhuang Wen Wu · Modular Machine Tool & Automatic Manufacturing Technique · 2012
After reasoning computing,fault diagnosis can automatically identify malfunction based on the fault symptoms,this paper uses the particle sw arm algorithm and rough set in fault diagnosis,and propose fault diagnosis know ledge acquisition,rules optimization and fault identification based on rough set attribute reduction of particle sw arm.Firstly,this paper introduces the rough set attribute reduction,secondly,the particle sw arm algorithm is applied to rough set attribute reduction algorithm,finally,the correctness and superiority of this algorithm is proved from the reduction experimental results of related data sets.