Structural damage assessment using improved Dempster-Shafer data fusion algorithm

(整期优先)网络出版时间:2019-02-12
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Asanefficienttoolinhandlinguncertainissues,Dempster-Shaferevidencetheoryhasbeenincreasinglyusedinstructuralhealthmonitoringanddamagedetection.Inapplications,however,Dempster-Shaferevidencetheorysometimesleadstocounter-intuitiveresults.Inthisstudy,anewfusionalgorithmofevidencetheoryisputforwardtoaddressvariouscounter-intuitiveproblemsandmanagethereliabilitydifferenceoftheevidence.Theproposedalgorithmcomprisesthefollowingaspects:(1)Dempster’scombinationruleisgeneralizedbyintroducingtheconceptofevidenceullage.ThenewruleallowsclassicalDempster’sruleandcanresolvecounter-intuitiveproblemscausebyevidenceconflictandevidencecompatibility;(2)areliabilityassessingmethodbasedonaprioriandposteriorknowledgeisproposed.Comparedwithconventionalreliabilityassessment,theproposedmethodcanreflecttheactualevidencereliabilitiesandcanefficientlyreducedecisionrisk.Numericalexamplesconfirmthevalidityandutilityoftheproposedalgorithm.Inaddition,anexperimentalinvestigationonaspatialtrussstructureiscarriedouttoillustratetheidentifiedabilityoftheproposedapproach.Theresultsindicatethatthefusionalgorithmhasnostrictrequestontheaccuracyandconsistencyofevidencesourcesandcanefficientlyenhancediagnosticaccuracy.