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基于模糊加权灰色关联分析的发动机磨损模式识别
引用本文:傅建平,廖振强,李国章,张培林.基于模糊加权灰色关联分析的发动机磨损模式识别[J].中国机械工程,2005,16(24):2215-2218.
作者姓名:傅建平  廖振强  李国章  张培林
作者单位:1. 南京理工大学,南京,210094;军械工程学院,石家庄,050003
2. 南京理工大学,南京,210094
3. 军械工程学院,石家庄,050003
基金项目:军队重点攻关项目(第310号)
摘    要:结合大量铁谱分析数据与专家经验,给出了发动机磨损模式识别标准样本库,建立了发动机磨损模式识别的模糊均权灰色关联分析模型、模糊加权灰色关联分析模型,结合磨损模式识别实例,验证了识别结果的可靠性。实践证明,模糊加权灰色关联分析方法能够快速、准确、有效地识别发动机磨损模式。

关 键 词:铁谱技术  磨损  灰色理论  模式识别
文章编号:1004-132X(2005)24-2215-04
收稿时间:2004-05-14
修稿时间:2004-05-14

Pattern Recognition Method for Wear Mode of Engine Based on the Fuzzy Grey Cognate Analysis
Fu Jianping,Liao Zhenqiang,Li Guozhang,Zhang Peilin.Pattern Recognition Method for Wear Mode of Engine Based on the Fuzzy Grey Cognate Analysis[J].China Mechanical Engineering,2005,16(24):2215-2218.
Authors:Fu Jianping  Liao Zhenqiang  Li Guozhang  Zhang Peilin
Affiliation:1. Nanjing University Science and Technology, Nanjing,210094; 2. Ordnance Engineering College,Shijianzhuang,050003
Abstract:Based on the number of data and expert experiences,the standard wear pattern repository was given,and the fuzzy grey cognate analysis model and fuzzy weighted grey cognate analysis model were built.Their reliability of recognition results was testified.A number of practices prove that the approach is efficient to heighten recognition correctness.
Keywords:ferrograph technology  wear  grey theory  pattern recognition
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