智能故障诊断粗糙灰色组合模型

Intelligent fault diagnosis model based on rough set and grey system theory

在故障诊断过程中,首先利用粗糙集原理对设备特征参数进行约简,去除冗余参数,再利用粗糙集理论定量确定各特征参数的重要程度;根据约简的特征参数和各参数的重要程度,利用灰色关联度分析的方法确定各种标准故障状态与目前设备状态的关联度,从而找到设备的故障之处.实例验证表明:在设备的故障诊断中将灰色系统理论和粗糙集理论结合是一种行之有效的方法,为智能故障诊断提供了理论基础.

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.