简介:本文主要在原有的G/G/1排队系统的模型中,引入“成批”到达的概念,引入一次到达人数的随机变量ξ,讨论忙期闲期有关的情况.并通过对模型的讨论解决了带有选择的排队过程的分布情况.
简介:针对系统动态可靠性中的不确定性问题,将动态故障树分析方法与模糊理论相结合,提出了基于模糊Markov过程的复杂系统动态可靠性仿真评估方法。首先,结合模糊理论与故障树方法,对基于模糊故障树的复杂系统可靠性模型进行了描述;其次,对动态故障树模型与的Markov过程模型的转换方法进行了研究,构建了复杂系统模糊动态可靠性评估模型,给出了系统模糊可靠度MonteCarlo仿真方法,并针对模糊隶属度难以求解的问题,结合目标规划模型,设计了动态隶属度确定算法;最后,以某型内燃机为例,对方法的科学性和有效性进行了验证。
简介:摘要:华亭电厂DCS改造基于EPC总承包模式开展,改造方案可以简单概况为拆除原DCS控制机柜以上部分,保留控制电缆及就地设备,充分利用原有电子间、工程师站和操作员站的空间,配置一套全新的控制系统,包括主控制器、I/O模块、电源模块、通讯网络等。本文针对华亭电厂DCS改造过程存在的问题制定了有效的管理措施和调试注意事项,提高了DCS改造过程的效率和质量,保障了机组运行的稳定性和可靠性。
简介:GivenanewDouble-MarkovriskmodelDM=(μ,Q,ν,H;Y,Z)andDouble-MarkovriskprocessU={U(t),t≥0}.Theruinorsurvivalproblemisaddressed.Equationswhichthesurvivalprobabilitysatisfiedandtheformulasofcalculatingsurvivalprobabilityareobtained.Recursionformulasofcalculatingthesurvivalprobabilityandanalyticexpressionofrecursionitemsareobtained.TheconclusionsareexpressedbyQmatrixforaMarkovchainandtransitionprobabilitiesforanotherMarkovChain.
简介:InthispaperareversibleMarkovprocessasachemicalpolymersreactionoftwotypesofmonomersisdefined.Byanalyzingthepartitionfunctionsoftheprocessweobtainthreedifferentdistributionsoftheaveragemolecularweight,dependingofthevalueofstrengthofthefragmentationreaction,andprovethatagelationoftheprocesswilloccurinthethermodynamiclimit.
简介:TheauthorpresentssomestraightforwardproofsfortwocomparisontheoremsforGreenfunctionsofMarkovchains,whichslightlyimprovethepreviousresultsbyVaropoulos,DurrettandYanandChen.ArecentresultbyRogersandWilliamsaboutinstantaneousMarkovchainsisalsoimprovedbyusingthesameidea.
简介:<正>Inthispaper.wegivecharacterizationsofNashinequalitiesforbirth-deathprocessanddiffusionprocessontheline.Asaby-product.weprovethatfortheseprocesses.transienceimpliesthatthesemigroupsP(t)decayas‖P(t)‖1--x≤Ct-1.SufficientconditionsforgeneralMsrkovchainsarealsoobtained.
简介:1.IntrodnctionTheweightedMarkovdecisionprocesses(MDP’s)havebeenextensivelystudiedsince1980’s,seeforinstance,[1-6]andsoon.ThetheoryofweightedMDP’swithperturbedtransitionprobabilitiesappearstohavebeenmentionedonlyin[7].Thispaperwilldiscussthemodelsofwe...
简介:Weraiseandpartlyanswerthequestion:whetherthereexistsaMarkovsystemwithrespecttowhichthezerosoftheChebyshevpolynomialsaredense,butthemaximumlengthofazerofreeintervalofthenthChebyshevpolynomialdoesnottendstozero.Wealsodrawtheconclu-tionthataMarkovsystem,underanadditionalassumption,isdenseifandonlyifthemaxi-mumlengthofazerofreeintervalofthenthassociatedChebyshevpolynomialtendstozero.
简介:在这篇论文,我们考虑Markov进程(X~∈(t),Z~∈(t))相应于有小参数∈的一个微弱地联合的椭圆形的PDE系统>0。我们首先证明那(X~∈(t),Z~∈(t))由联合方法有Feller连续性,然后证明那(X~∈(t),Z~∈t))由收养的Lyapunov不平等有不变的措施μ~∈(·)。最后,当小参数∈趋于到零,我们为μ~∈(·)建立一个大偏差原则。
简介:SupposethatCisafinitecollectionofpatterns.ObserveaMarkovchainuntiloneofthepatternsinCoccursasarun.Thistimeisdenotedbyτ.Inthispaper,weaimtogiveaneasywaytocalculatethemeanwaitingtimeE(τ)andthestoppingprobabilitiesP(τ=τA)withA∈C,whereτAisthewaitingtimeuntilthepatternAappearsasarun.
简介:Inordertoovercomethedisadvantagesoflowaccuracyrate,highcomplexityandpoorrobustnesstoimagenoiseinmanytraditionalalgorithmsofcloudimagedetection,thispaperproposedanovelalgorithmonthebasisofMarkovRandomField(MRF)modeling.Thispaperfirstdefinedalgorithmmodelandderivedthecorefactorsaffectingtheperformanceofthealgorithm,andthen,thesolvingofthisalgorithmwasobtainedbytheuseofBeliefPropagation(BP)algorithmandIteratedConditionalModes(ICM)algorithm.Finally,experimentsindicatethatthisalgorithmforthecloudimagedetectionhashigheraverageaccuracyratewhichisabout98.76%andtheaverageresultcanalsoreach96.92%fordifferenttypeofimagenoise.