基于matlab的粗糙集约简在故障诊断中的应用

Fault Diagnosis Based on Rough Sets Reduction with matlab

本文针对故障诊断过程中冗余征兆问题,利用遗传算法的全局搜索能力,结合粗糙集知识编写了属性约简程序,并在matlab的环境下运行,可获得多种最小约简方案,领域专家可根据测量的难度和代价选择最小约简,删除冗余征兆,提取规则。

For the problem of redundancy symptoms, the method of minimal attributes reduction based on GA is proposed. It can be realized by matlab program to gain all of the minimal reduction. Domain expert can choose one from them according to measure knowledge to distill rules.