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发动机磨损模式的FGRD识别模型
引用本文:李兵,张培林,傅建平,曹征.发动机磨损模式的FGRD识别模型[J].内燃机工程,2006,27(2):71-74.
作者姓名:李兵  张培林  傅建平  曹征
作者单位:军械工程学院,石家庄,050003
摘    要:发动机磨损模式识别是实现发动机故障诊断和状态监测的关键环节.根据灰色系统理论和模糊数学,引进了一种灰关联度综合评价模型和模糊相对权重的概念.根据铁谱分析的磨粒识别结果,将两者相结合运用到铁谱分析的磨粒识别中,提出了一种新的基于模糊灰关联度的发动机磨损模式识别方法,计算表明,方法是有效的.

关 键 词:内燃机  灰关联度  模糊相对权重  模糊灰关联度  模式识别
文章编号:1000-0925(2006)02-071-04
收稿时间:03 7 2005 12:00AM
修稿时间:2005-03-07

FGRD Recognition Method for Wear Mode of I.C. Engines
LI Bing,ZHANG Pei-lin,FU Jian-ping,CAO Zheng.FGRD Recognition Method for Wear Mode of I.C. Engines[J].Chinese Internal Combustion Engine Engineering,2006,27(2):71-74.
Authors:LI Bing  ZHANG Pei-lin  FU Jian-ping  CAO Zheng
Affiliation:Mechanical Engineering College, Shijiazhuang 050003, China
Abstract:Wear pattern recognition is a very important work in the engine condition monitoring and fault diagnosis.Based on the grey theory and the fuzzy theory,the grey relationship degree evaluation model and the fuzzy relative weight(FRW) were introduced.By combining them,a new concept of fuzzy grey relation grade(FGRD) was proposed.A new method of pattern recognition was introduced by using the new concept.The calculation results show that this method is available.
Keywords:I  C  Engine  Grey Relation Degree  Fuzzy Relative Weight  Fuzzy Grey Relation Grade  Pattern Recognition  
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