[1]周文驰.火箭炮随动装置液压控制系统研究[D].武汉:武汉科技大学,2014:7-12.ZHOUWenchi.Theresearchofservohydrauliccontrolsystemoftherocketfollowupdevice[D].Wuhan:WuhanUniversityofScienceandTechnology,2014:7-12.(inChinese) [2]沈美杰,赵龙章,周兵,等.基于PSO优化的RBF网络液压泵故障诊断研究[J].液压与气动,2016(5):87-92.SHENMeijie,ZHAOLongzhang,ZHOUBing,etal.HydraulicpumpfaultdiagnosisofRBFnetworkbasedonPSOoptimization[J].ChineseHydraulics&Pneumatics,2016(5):87-92.(inChinese) [3]刘小平,鄂东辰,高强,等.基于BP神经网络的翻车机液压系统故障诊断[J].液压与气动,2016(8):68-73.LIUXiaoping,EDongchen,GAOQiang,etal.FaultdiagnosisbasedonBPneuralnetworkforhydrauliccontrolsystemofrotarydump[J].ChineseHydraulics&Pneumatics,2016(8):68-73.(inChinese) [4]曹凤才,岳凤英.基于BP神经网络的液压系统故障诊断研究[J].中北大学学报:自然科学版,2010,31(6):596-599.CAOFengcai,YUEFengying.FaultdiagnosisofhydraulicsystembasedonBPneuralnetwork[J].JournalofNorthUniversityofChina:NaturalScienceEdition,2010,31(6):596-599.(inChinese) [5]宋星,杨彦青,金珍珍.基于模糊故障诊断算法的米巴赫焊机液压伺服系统监测与故障诊断系统[J].电焊机,2014,44(9):68-71.SONGXing,YANGYanqing,JINZhenzhen.ResearchonthemonitoringandfaultdiagnosissystemforhydraulicservosystemofMiebachweldingmachinebasedonthefuzzyfaultdiagnosisalgorithm[J].ElectricWeldingMachine,2014,44(9):68-71.(inChinese) [6]游张平,江洁,胡小平,等.起重机液压系统的粒子群神经网络故障诊断[J].液压与气动,2014(1):114-118.YOUZhangping,JIANGJie,HUXiaoping,etal.Faultdiagnosismethodsforcranehydraulicsystembasedonparticleswarmneuralnetwork[J].ChineseHydraulics&Pneumatics,2014(1):114-118.(inChinese) [7]宋涛,舒涛,雷荣强,等.基于蚁群神经网络的发射系统故障诊断[J].火力与指挥控制,2015,40(9):143-146,151.SONGTao,SHUTao,LEIRongqiang,etal.Researchonfaultdiagnosisforlaunchsystembasedonantcolonyneuralnetwork[J].FireControl&CommandControl,2015,40(9):143-146,151.(inChinese) [8]JOUSSELMEAL,GRENIERD,BOSSEE.Anewdistancebetweentwobodiesofevidence[J].InformationFusion,2001,2(2):91-101. [9]张旭婧,董增寿.修正的D-S证据理论在液压故障诊断中的应用[J].太原科技大学学报,2011,32(5):370-373.ZHANGXujing,DONGZengshou.ModifiedD-Sevidentialtheoryinhydraulicsystemfaultdiagnosis[J].JournalofTaiyuanUniversityofScienceandTechnology,2011,32(5):370-373.(inChinese) [10]刘希亮,陈桂明,李方溪.基于改进证据理论的多传感器信息融合故障诊断[J].中国机械工程,2014,25(10):1341-1345.LIUXiliang,CHENGuiming,LIFangxi,etal.Multisensorinformationfusionfaultdiagnosisbasedonimprovedevidencetheory[J].ChinaMechanicalEngineering,2014,25(10):1341-1345.(inChinese) [11]DONGZengshou,ZHANGXujing.ModifiedD-Sevidentialtheoryinhydraulicsystemfaultdiagnosis[J].ProcediaEnvironmentalSciences,2011,11(PartA):98-102. [12]蒋雯,张安,邓勇.基于新的证据冲突表示的信息融合方法研究[J].西北工业大学学报,2010,28(1):27-32.JIANGWen,ZHANGAn,DENGYong.Anovelinformationfusionmethodbasedonnewevidenceconflictrepresentation[J].JournalofNorthwesternPolytechnicalUniversity,2010,28(1):27-32.(inChinese)