摘要
针对不协调、不完备信息条件下的故障诊断难题,研究了基于协调近似表示空间的故障诊断方法。采用不协调诊断信息系统描述不协调故障信息,并将不协调诊断信息系统转化为协调近似表示空间,进而对其进行属性约简;设计了基于包含度的针对完备信息对象的故障诊断方法,采用向量补齐方法设计了针对不完备信息对象的协调近似表示空间故障诊断方法。最后,将该方法应用于航空发动机故障诊断,验证了该方法可有效处理不协调、不完备信息,显著提高了故障诊断准确率。
A fault diagnostic approach is proposed based on consistent approximate indication space,to deal with incomplete and inconsistent information.Firstly,an inconsistent diagnostics information system is introduced to express the inconsistent information.And the inconsistent diagnostics information system is translated into consistent approximate indication space.Then attribute reduction is carried out.Secondly,a diagnostic method based on inclusion degree is designed for complete-information objects.And vectors are complemented for incomplete-information objects.Finally,this approach is validated with aero-engine data.Results show that the designed approach can deal with incomplete and inconsistent information effectively,and enhance the accuracy of diagnosis remarkably.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第8期1810-1815,共6页
Systems Engineering and Electronics
基金
国家高技术研究发展计划(863计划)(2009AAXX0506)
总装备部"十一五"预研项目(51317030103)
空军工程大学研究生创新基金(Dx2010107)资助课题
关键词
故障诊断
协调近似表示空间
属性约简
不协调信息系统
diagnosis
consistent approximate indication space
attribute reduction
inconsistent information system
