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基于d-s证据理论的发动机信息融合故障诊断模型.doc

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1、基于 D-S 证据理论的发动机信息融合故障诊断模型2008?4?B?m33?m4?1?O?2LUBRICATIONENGINEERINGApr12008Vol133No143:?c?(50705097);?q?U?V?1:2007-12-19?3?(8,V),?y,?V?1,?q?L?O?X?V?2fxfx86311D2S?L?j?B?X?f?3(?C?u?:?050003)?:?D2S?L?j?B?X?f?u0?7?s?L?u?/?,?Ju2?J?,?n?f?B?6?L?B?n?j?s?4?,?B?U?U,?A?L?u?s?q?4?B?U?Uu0?O,?g?n?X?f?b?16?i?su2?

2、s?B?U?U?Y?B,?X?,?j?X?u0?t?:?j;?X?;?B;D2S?L?a?L?:TP20613u?t?U?2:Au?l?:0254-0150(2008)4-074-4EngineInformationFusionFaultDiagnosisModelBasedontheD2SEvidenceTheoryWangZhengjunu?ZhangPeilinu?RenGuoquanu?GaoJingweiu?LiBing(OrdnanceEngineeringCollege,ShijiazhuangHebei050003,China)Abstract:Engineinformatio

3、nfusionfaultdiagnosismodelwassetupbasedontheD2Sevidencetheory.Theconcentra2tionvalue,gradientvalueandscalefactorofthemonitoredelementsweregotbyoilspectrometricanalysis,andtheywerecombinedtogethertobeanintegratedevaluationindexofeachspectrometricelementthroughfuzzyintegratedevaluationmethod.Inthesame

4、way,theintegratedevaluationindexofferrographywearparticleamountandeachwearparticleweregot.Thefaultdiagnosismodelwasmadeuseoftofusethegained16spectrometricandferrographyintegratedevaluationin2dextogether.Theresultshowsthatthemodelenhancestheaccuracyofthefaultdiagnosisandactualizestheaccuratediag2nosi

5、stotheengine.Keywords:engine;faultdiagnosis;informationfusion;D2Sevidencetheoryu?j?F?4?l?j?U?,?P?u?l?U?W?,?j?Y?2?/?X?R?.?L?N?u0?L?F?n?T?j?C?j?Y?/?X?R?k?,?7?j?a?j?2?Y?L?6?,?q?3?s?L?s?L?2?/?u0D2S?L?0?n?4?L?f?,?T?,?O?1?u?n?u2?f?N?e?B?,?k?u01u?L?m?B?E?51?U?F?j?X?b?R?J?i?B,U?F?w?V?b?R?nU?,?F?T?,?5?U?jX?i

6、?e?=?u0?1u?U?j?e?=?,U?K?2U?E?B8?,A,?m:2Uf?0,1?:m(8?)=0(1)xGAUm(A)=1(2)?5?m(A)?jA?m?/?Ju0m(A)?j?A?C?,?j?A?F?2u0?2u?U?j?e?=?,m:2Uf?0,1?FU?I?m?/?J,?Bel:2Uf?0,1Bel(A)=xGB Am(B)u?u?(A U)(3)B()=xGB(B)?j?b?R?P?/?,?j?q?u0?3u?e?=?U?j,?R?8:192.Email:redosnowo21comelAAmAAAm(A)0,?5?A?j?Bel?S?u0D2S?L?B?5?C:?Bel1

7、?Bel2?F?A?e?=?U?I?2?i?,m1?m2?L?e?F?m?/?J,?S?L?e?jA1,x?,Ak?B1,x?,Br,?K=xGi,jAixgBj=m1(Ai)m2(Bj)1(4)?5?CU,Cx?:m(C)=(1-K)-1xGi,jAixgBj=Cm1(Ai)m2(Bi)(5)?C=,?5m(C)=0u0?n?N?a,?Kx?1,?5m?i?m?/?J;?K=1,?5?jm1u2m2?,?T?m?/?J?Y?Bu0K?C?,?J?P?O?/?Pu02u?6?D2S?B?N2?b?h?F?6?,?H0?j?U?T?n,H1?j?U?n,?i?k?A?F?2?C?L?e?jm1(

8、A),m2(A),x?,mn(A),?m1(8?),m2(8?),x?,mn(8?),?V?Rm1(8?)=1-m1(A)m2(8?)=1-m2(A)u?u?u?x?mn(8?)=1-mn(A)?s?mk(A)=xGi,jAixgBj=Cmk-1(Ai)mk(Bj)1-xGi,jAixgBj=mk-1(Ai)mk(Bj)=11-0mk-1(A)mk(A)+mk-1(8?)mk(8?)+mk-1(8?)mk(A)=1-xNk-1i=1mi(8?)+1-mk(8?)xNk-1i=1mi(8?)=1-xNki=1mi(8?)?X?u?B?F?2?C?:mk(A)=1-xNki=1mi(8?)(6)3

9、u?f?m?;?su2?s?L?F?E?,?=?L?e?R?b?(?u0?s?0?B?L?N?108?m?,?=?/?y?a?,?T?2u2?P?N?,?A?T?X?Y?,?V?r?u?,?b?7?T?u?X?u0?s?c?n1?2508?m?1?V?7?s?L?P?R?1?u2?2?E?j?c?,?=?F?n?a?P?/?s;?n?Y?a?l?u2?u2?u2?l?X?/?k?,?7?T?/;?y?K?q?j?u0?7?n?B?N?L?su2?s?4?j?/?B?n?,?u2?,?R?X?3-5u04u?X?f?7?j?j?c?V?,?n?s?L?R?n?j?4?b?e?Feu2Cru2Ni

10、u2Mnu2Alu2Cuu2Pb7?q?,?q?l?Y?,Si?,?j?/?;?s?L?5?R?n?8?u2?K?u2?u2?D?u2?U?+?u2?P?l?P?l?7?q?q?j?/?u0?7?j?a8?q?,?/,?u?s?L?y?m?u0?n?s?L?f?,?J?,?c?O?Z?f?B?6?,?f?u2?f?,?Z?f?u2?f?u2?f?n?j?s?L?X?a?P?T?A,?7?r?N?u2?r?B?U?X?,?n?P?b?I?u2?T?A?,?L?R?3?f?B?n?j?B?U?U?n?j?q?2u0?A?L,?Y?s?L?O,?u?I?7?q?q?J,?J,?A?y?n?f?B?6

11、?4?f?f?,?Z?u2?T?A?J?L?B?n?n?j?2u0?j?L?T?A?X?,?s?L?4?,?s?L?4?f?t?C?F?T?y?,?Al?,?6?F?S?n?W?X?,?A?6?j?X?T?n,?j?b?V?j?a?T?e?RAl?,u0?A?y?,?8?6?0?W?X?f?t?C?P?6?X?u0?,?Z?T?A?X?,?r?P?,?L?4?,?T?A?Ju0?O?nD2S?L?L?j?2?s?L?4?,?B?U?U?s?L?4?B?U?U?B?n?,?j?X?Y?u0?X?f?b?ju0572008?m4?1?:?D2S?L?j?B?X?f?811u?j?B?X?f?Fig

12、1u?Engineinformationfusionfaultdiagnosismodel5u?n?1u?j?su2?s?B?U?Uu?u?u?Table1u?Spectrometricandferrographyinteg2ratedevaluationindexesofengine?U?U?N?/h245250255260265Fe011657011690011736011785015371Cr00000Ni000010039010168Mn00000Al014647014780110000110000018617Cu00000Pb0010034010159010314010946Si00

13、016653011382019365Mz000133460017698Mq00000Mc00000Mp00000My000123460016592Mx000131640017425Mk000112160015431Mr00000u?S?N?n?j?j?,?5?N?j?Y?f?8?y,?7?s?L?s?L?L?e?u5?65?N?C?4?,u2?q?4?Ju0?Z?f?su2?s?B?U?U?1?b?ju0?2u?4?U?U?j?X?L?u?u?u?u?Table2u?Weightdistributionofeacheva2luationindextoenginefaults?U?U?j?X?0?W?W?Fe014015011Cr016011011Ni01800Mn01800

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