摘要
将变精度粗糙集(VPRS)理论引入到轴承的故障诊断中,提出了一种故障决策规则提取方法。首先用等间距法对连续属性进行离散化,然后根据实际,选取不同的β(正确的分类率),利用变精度粗糙集的近似分类质量进行条件属性约简,得到β近似决策规则,最后通过轴承故障实例验证了此方法的有效性和实用性。
VPRS（variable precision rough set） theory is introduced in the fault diagnosis of bearing,and a decision rule acquisition method of fault is presented.Firstly,the equidistant method is utilized to discretize continuous attributes.Then,varying values of β（right ratio of classification） are selected according to the reality,and quality of approximation classification of VPRS is utilized to carry through condition attribute reduction and approximate decision rules about β are obtained.At last,a practical example in the bearing is given to show the validity and practicability of the algorithm.
出处
《轴承》
北大核心
2010年第4期42-46,共5页
Bearing
基金
国家自然科学基金资助项目(50775219)
