简介:丙烯倡导者LCC测试的评估--A在凳子规模被执行固定的使流体化的床反应堆和一个飞行员规模起床人。这个倡导者的在工业上的应用实验在Dalian石油化学的Co.and#1在#3RFCCU被进行在上海石油化学的公司的综合精制单位。测试结果在增加倡导者LCC的5%-6%以后显示出那--A到丙烯收益和选择是的主要FCC催化剂FCC汽油评价的raisedobviously.The辛烷由超过一个单位被增加;它能减轻辛烷的否定影响数字衰落源于石蜡内容的减小当时,与到迫切市场需求forpropylene.The测试结果在上海石油化学的同伴完成了的会的增加的丙烯收益一起的inFCC石油揭示了那LCC的增加--一个倡导者到达了5%催化剂库存,它的表演能等同于海外倡导者OlefinsMax的
简介:鉴于在医药图象的固有的点缀噪音,一个点缀减小方法基于一个期望最大化他们框架被建议。首先,in-phase/quadratureI/Q超声图象的真实部件被提取。然后,盲目地估计点散布了成像系统的函数PSF被用来。基于他们框架,最后,在维纳过滤器和各向异性的散开广告之间轮流出现的一个反复的算法被利用生产despeckled图象。比较实验被执行在上模仿并且在vivo超声图象。关于I/Q图象,建议方法平均由1.94和7.52的因素改进speckle-signal-to-noise比率S-SNR和图象的边保藏索引,这被显示出。同时,它平均由3.95的因素减少规范的摆平平均数的错误NMSE。模拟并且在vivo结果显示建议方法比退出的有更好全面的表演。
简介:Theresearchproject'DevelopmentandapplicationofFCCadditiveformaximizationofpropyleneandisobutylene'jointlyundertakenbyRIPP,theBalingPetrochemicalCompany(BPC)andtheSINOPECCatalyst
简介:Mostofthemaintenanceoptimizationmodelsincondition-basedmaintenance(CBM)considerthecost-optimalcriterion,butfewpapershavedealtwithavailabilitymaximizationformaintenanceapplications.AnoveloptimalBayesiancontrolapproachispresentedformaintenancedecisionmaking.Thesystemdeteriorationevolvesasathree-statecontinuoustimehiddensemi-Markovprocess.Consideringtheoptimalmaintenancepolicy,themultivariateBayesiancontrolschemebasedonthehiddensemi-Markovmodel(HSMM)isdeveloped,theobjectiveistomaximizethelong-runexpectedaverageavailabilityperunittime.Theproposedapproachcanoptimizethesamplingintervalandcontrollimitjointly.AcasestudyusingMarkovchainMonteCarlo(MCMC)simulationisprovidedandacomparisonwiththeBayesiancontrolschemebasedonhiddenMarkovmodel(HMM),theage-basedreplacementpolicy,Hotelling’sT2,multivariateexponentiallyweihtedmovingaverage(MEWMA)andmultivariatecumulativesum(MCUSUM)controlchartsisgiven,whichillustratestheeffectivenessoftheproposedmethod.
简介:Inthisarticle,weconsideralifetimedistribution,theWeibull-Logarithmicdistributionintroducedby[6].Weinvestigatesomenewstatisticalcharacterizationsandproperties.WedevelopthemaximumlikelihoodinferenceusingEMalgorithm.AsymptoticpropertiesoftheMLEsareobtainedandextensivesimulationsareconductedtoassesstheperformanceofparameterestimation.Anumericalexampleisusedtoillustratetheapplication.