基于粗糙集理论的多源信息融合故障诊断方法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (8): 2013-2019.

基于粗糙集理论的多源信息融合故障诊断方法

杨广^1,2, 吴晓平², 宋业新³, 田树新²

1. 镇江船艇学院船艇工程系, 江苏, 镇江, 212003;
2. 海军工程大学信息安全系, 湖北, 武汉, 430033;
3. 海军工程大学应用数学系, 湖北, 武汉, 430033

收稿日期:2008-03-11 修回日期:2008-06-11 出版日期:2009-08-20 发布日期:2010-01-03
作者简介:杨广(1980- ),男,讲师,博士,主要研究方向为系统工程、优化决策、智能故障诊断.E-mail:sunyoung0783@sina.com
基金资助:
国家自然科学基金(7047103160774029)资助课题

Multi-sensor information fusion fault diagnosis method based on rough set theory

YANG Guang^1,2, WU Xiao-ping², SONG Ye-xin³, TIAN Shu-xin²

1. Dept. of Watercraft Engineering, Zhenjiang Watercraft Coll., Zhenjiang 212003, China;
2. Dept. of Information Security, Naval Univ. of Engineering, Wuhan 430033, China;
3. Dept. of Applied Mathematics, Naval Univ. of Engineering, Wuhan 430033, China

Received:2008-03-11 Revised:2008-06-11 Online:2009-08-20 Published:2010-01-03

摘要/Abstract

摘要： 在故障诊断中,从包含冗余和不一致信息的数据中获取简单有效的诊断决策规则是一个难题.首先,针对完备信息系统和不完备信息系统分剐提出了相应的融合算法,为解决数据超载以及不完整信息融合问题提供了有效的方法.其次,提出了基于粗糙集理论的多源信息融合故障诊断模型.该模型从包含冗余和不一致信息的原始数据出发,利用基于改进属性重要度的方法实现故障征兆属性约简;然后通过给出的值约简算法进一步产生最大广义决策规则集,建立了用于故障诊断的规则库.最后,在应用该模型进行故障诊断时,用待诊断实例的离散化了的故障征兆属性与规则库中的诊断决策规则进行匹配,对返回的诊断决策规则依据置信度、覆盖度和支持度进行综合评价,并得出诊断结论.给出的诊断实例验证了该方法的可行性和有效性.

Abstract: Extraction of simple and effective decision rules from the numerous data containing inconsistent and redundant in formation is one of the most important issues needed to be solved in fault diagnosis.Firstly,According to complete information system and incomplete information system,the corresponding fusion algorithms are shown,which provide an effective method to deal with the overloading data of sensors and information fusion for incomplete sensors.Secondly,a multi-sensor information fusion fault diagnosis model based on rough set theory is presented.From original fault data containing inconsistent and redundant information,the fault symptom attributes are reduced using the method based on attribute significance.Then,a set of maximal generalized decision rules are generated by using a proposed value reduction algorithm,and a decision rule base for fault diagnosis is established.Finally,when the presented model is applied for fault diagnosis,the discretized fault symptom attributes are matched with the rules in the decision rule base,and the returned diagnostic decision rules are evaluated by using certainty factor,coverage factor and support factor,then diagnostic results are obtained.A proposed diagnostic example proves the method is feasible and available.

中图分类号:

杨广, 吴晓平, 宋业新, 田树新. 基于粗糙集理论的多源信息融合故障诊断方法 [J]. Journal of Systems Engineering and Electronics, 2009, 31(8): 2013-2019.

YANG Guang, WU Xiao-ping, SONG Ye-xin, TIAN Shu-xin. Multi-sensor information fusion fault diagnosis method based on rough set theory [J]. Journal of Systems Engineering and Electronics, 2009, 31(8): 2013-2019.

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