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基于变精度粗糙集的故障特征选择方法
引用本文:何健,黄沈华,杨作宾,宋立军.基于变精度粗糙集的故障特征选择方法[J].舰船电子工程,2010,30(3):168-170.
作者姓名:何健  黄沈华  杨作宾  宋立军
作者单位:1. 防空兵指挥学院,郑州,450052
2. 国防科技大学机电工程研究所,长沙,410073
摘    要:粗糙集理论是近年来发展起来的一种有效处理不确定、不精确问题的新型数学工具。文章阐述了传统Pawlak粗糙集的核心内容,并介绍了变精度粗糙集的基本概念。从信息论观点出发,提出了基于变精度粗糙集的信息表属性约简方法,并验证了将该方法应用于故障特征选择的可行性。柴油机的实际诊断结果表明,该方法节省了硬件费用,改善了运算效能。

关 键 词:粗糙集  属性约简  故障诊断

Fault Feature Selection Based on Variable Precision Rough Sets
He Jian,Huang Shenhua,Yang Zuobin,Song Lijun.Fault Feature Selection Based on Variable Precision Rough Sets[J].Ship Electronic Engineering,2010,30(3):168-170.
Authors:He Jian  Huang Shenhua  Yang Zuobin  Song Lijun
Institution:He Jian) Huang Shenhua) Yang Zuobin) Song Lijun)(Air Defence Forces Command College1),Zhengzhou 450052)(Institute of Machinery and Electric Engineering,National Defense Science and Technology University2),Changsha 410073)
Abstract:Rough sets theory is a new mathematical method developed in recent years,dealing with uncertainty and imprecision questions.The core content of traditional Pawlak Rough sets is introduced here,as well as the concept of variable precision rough sets.From the information view of rough sets theory,this paper discusses the reduction of attributes based on variable precision rough sets.The diagnosis of a diesel demonstrates that the solution can reduce the cost and increase the efficiency of dfault feature selection while preserving the precision,and verifies the feasibility of the engineering application.
Keywords:rough sets  attributes reduction  fault diagnosis
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