计算机应用研究2017，Vol.34Issue(9)：2642-2645,4.DOI:10.3969/j.issn.1001-3695.2017.09.017
基于灰色粗糙集与BP神经网络的设备故障预测
Equipment fault prediction based on grey rough set and BP neural network
摘要
Abstract
In order to predict equipment failure more effectively,this paper proposed a model of equipment fault prediction based on the grey rough set and BP neural network.By use of grey incidence analysis and rough set theory,it reduced a twodimensional fault decision table from both horizontal and vertical dimensions,and removed the redundant data and attributes of the decision table,after the reduction,input the data to the BP neural network to predict the equipment failure.Finally,it carried out a case study on the fault prediction of subway signal equipment,and the results show that the model has smaller prediction error and higher accuracy.关键词
灰色关联分析/粗糙集/BP神经网络/约简/故障预测Key words
grey incidence analysis/rough set/BP neural network/reduction/fault prediction分类
信息技术与安全科学引用本文复制引用
郭宇,杨育..基于灰色粗糙集与BP神经网络的设备故障预测[J].计算机应用研究,2017,34(9):2642-2645,4.基金项目
国家自然科学基金资助项目(71571023) （71571023）
