Intelligent fault diagnosis model based on rough set and grey system theory
Changan Zhu · Ha'erbin gongye daxue xuebao · 2007
During the process of fault diagnosis,rough set theory is used to reduce superfluous attributes and quantitatively determine the relative importance of the attributes,and then grey correlation analysis is used to calculate the grey correlation degrees of all the standard fault states with respect to the current state according to reduced attributes and their relative importance,so that the fault can be found.An example is used to demonstrate the feasibility of the method.The method lays the foundation for the intelligent fault diagnosis.