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数控机床装配可靠性建模及控制技术研究
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摘要
论文针对数控机床可靠性控制中存在的问题,分析了可靠性与装配过程之间的关系,明确了整机可靠性主要由部件本身的可靠性和部件间的连接可靠性来保证的概念;提出了数控机床基于可靠性的功能分解思路,分解围绕三条主线展开:对机床功能进行了“整机功能——部件间连接功能、部件基本功能”的分解;将各部件间的连接功能进行“部件——连接部位——连接方式”的分解;将各主要部件进行“功能——运动——元动作”的分解,并建立了三条主线的分解模型。针对分解过程,定义了分解中各事件的专有符号,建立了各分解模型相应的成功树,并对成功树中各事件及事件间的关系进行了数学表达。
     针对数控机床装配可靠性难以量化的问题,通过分析数控机床装配过程与机床功能形成过程之间的关系,确定了在保证设计与加工可靠性的基础上,数控机床装配可靠性直接影响机床功能形成过程可靠性,直接分析装配可靠性需要分析各装配阶段的工艺过程,这样就使得装配可靠性更加难以量化。基于上述分析,本文针对装配可靠性与功能形成过程可靠性间的关系,将装配可靠性的定量分析转化为对功能形成过程可靠性的定量分析,使得问题得以解决。本章根据功能成功树中各事件间的逻辑关系,将成功树转化为以“成功”为导向的GO图模型,从而利用GO法运算,进行了数控机床功能形成过程可靠度(装配可靠度)的运算。
     为了实施装配可靠性的控制,分析了部件间连接方式及部件元动作可能的故障表现即装配缺陷。针对数控机床装配缺陷源较多、不易控制的问题,利用熵值法,提出了装配缺陷熵权的概念,计算了数控机床装配过程中缺陷的熵值及熵权,结合专家权重,确定了装配过程可能产生的主要缺陷模式,并分析了主要缺陷源。
     在确定了主要缺陷模式及主要缺陷源的基础上,制定了主要缺陷源的控制措施。利用多色集合理论建立了主要缺陷模式与主要缺陷源、主要缺陷源与控制措施之间的关联矩阵,并分别建立了布尔控制表,将装配可靠性控制的相关信息进行了集成,对装配可靠性的直观化控制具有一定意义。
     为了对本文研究的数控机床装配可靠性建模及控制技术的有效性进行评估,利用灰色系统理论建立了整机装配可靠性历史数据、各功能部件装配可靠性历史数据、部件间连接的可靠性历史数据之间的关系模型,求解了整机装配可靠性历史数据的模拟值,在模拟精度有意义的前提下,对实施了可靠性控制技术的历史数据进行了未实施还原模拟。利用GO法对相应可靠性历史数据进行了实际值计算,并与未实施控制技术的模拟值进行了对比分析,表明本文研究的装配可靠性控制技术对于控制数控机床可靠性是有效的。
     上述研究结果均应用于加工中心装配可靠性的建模及控制方法的研究中。
Aiming at the problems of reliability control for CNC machine tools, this paper analyzed the relation between the machine reliability and the assembly process, confirmed that the machine reliability is formed by the connection function reliability and basic function reliability of components. Besides, decomposition methods of CNC machine tools functions including decomposition of the whole equipment function, joint function and unit function. The whole equipment function is decomposed for joint function and unit function; joint function are decomposed for connection parts and connection mode; unit function is decomposed for movement and meta-action. Then, decomposition model is established. On account of the decomposition process, exclusive signs are defined for the events in the decomposition model and the success trees of different decomposition models are built respectively. The mathematical expressions of relations among different events and in events themselves are given out.
     Facing with the unquantifiablility of reliability of CNC machine during assembly, after analyzing the connection relation between assembly process and function formed process, it is confirmed that on the basis of guaranteeing design and machining reliability. CNC machine assembly reliability impacts directly on machine function formed process reliability. Analyzing assembly reliability directly needs to analyze the assembly process, which makes it difficult to quantify the assembly reliability. Above all, the paper aims at the relation between assembly reliability and function formed process reliability, turns quantification analysis of assembly reliability into quantification analysis of function formed process reliability which leads to the solutions. The GO-diagram model guided by Success is built by success tree according to the logical relation among events. The reliability of CNC machine assembly process is calculated by GO method.
     To put the control technology of assembly process reliability into effect, the failure performances of connection mode and the meta-action which are called reliability defects are analyzed. Aiming at some problems, such as the large amount of sources of reliability defects and uneasily-control, Entropy Method is utilized to give the conception of Entropy Weight of reliability defects during assembly. The Entropy Weight and the value of Entropy are calculated combining with the Experts Weight, the main defects patterns which may occur during the assembly process are confirmed and the main defects sources are analyzed.
     On the basis of confirming main defects and sources, the assembly reliability control measures are established. Moreover, utilizing the polychromatic sets theory, matrixes between main defects and main defects sources, main defects sources and control measures are related. Boolean Control forms are built respectively and the relevant information of control technology of assembly process reliability is integrated, which contributes to the clearness of assembly reliability.
     To evaluate a set of reliability modeling during assembly process of CNC ma-chine and the effectiveness of control technology studied in this paper, Grey System Theory is utilized to build a model of the relation of historical data of whole machine assembly process reliability, assembly process reliability of joint function and reliability of unit function. In addition, the analogue value of historical data of assembly process reliability is worked out. On condition that the simulation precision is effective, the historical data controlled by reliability control technology is simulated uncontrolled. Using GO-method, the corresponding historical data is actual-valued calculated and the analogue values which are not controlled by control technology are compared and analyzed. It proves that it is effective for control technology of assembly process reliability to guarantee the reliability of CNC machine tool.
     The study results above are all able to use in the reliability study of assembly process of machining centre which has been proved by instance.
引文
[1]张根保,曾海峰.数控制造装备可靠性技术[J].机械制造与自动化,2010,39(6):4-10.
    [2]吴柏林.机床产业热背后的冷思考[J].金属加工,2011(16): 3-5.
    [3]梁万前.我国机床工具行业发展方向初探[J].2011,39(10): 1-5.
    [4] Dai Y,Zhou Y F,Jia Y Z.Distribution of time between failures of machining center based on type I censored data[J]. Reliability Engineering and System Safety,2003,79(3):377-379.
    [5]赵罡,王超,侯文君,金钺.复杂产品虚拟装配系统的人机交互技术[J].北京航空航天大学学报,2009, 35(2):138-141
    [6]金伟娅,张康达.可靠性工程[M].北京:化学工业出版社,2005,1-10.
    [7]王玉玲.机械可靠性维修性优化设计方法及其在工程机械中的应用[D].济南:山东大学,2007,1-5.
    [8]杨为民.可靠性、维修性、保障性总论[M].北京:国防工业出版社,1995,1-15.
    [9]金伟娅,张康达.可靠性工程[M].北京:化学工业出版社,2005,1-10.
    [10]孙新利,陆长捷.工程可靠性教程[M].北京:国防工业出版社,2005,1-2.
    [11] C.E.Shannon. A mathematical theory of communication[J].Bell Sys Tech. 2000, (27):379-433
    [12] Liu S.F.,Lin Y. Grey information theory and practical applications[M]. Springer-Verlag.London,2006:7-12
    [13]王先逵.机械装配工艺[M].北京:机械工业出版社,2008.
    [14]王波,耿如军.机械产品装配过程质量熵研究[J].制造业自动化,2009,31(9):18-23.
    [15]李磊.数字化产品预装配序列生成、评价与优化研究[D].西安:西北工业大学,2002,9.
    [16]赵磊,李原,张开富,等.改进的复杂产品装配顺序模糊评价方法[J].中国机械工程,2009,20(13):1534-1536.
    [17] Henrioud J M,Bonneville F.Evaluation and Selection of Assembly Plans,inE[C]//Advances in Production Management Systems,North-Holland, IEIP, Amster-dam,1991:489-496.
    [18] Sumichrast,R.T.,Russell,et al.Evaluating mixed-model assembly line sequencing heuristics for just-in-time production systems[J].Journal of Operations Management,1990,9(3):371-390.
    [19]徐旭松,杨将新,曹衍龙,等.一种面向可装配性的公差分析方法[J].中国机械工程,2008,19(24):2975-2981.
    [20] MILAD F.SEBAALY,HIDEO FUJIMOTO. A Genetic Planner for Assembly Automation[C] Proceedings of the IEEE Conference on Evolutionary Computation,1996:401-406.
    [21]刘楚辉,柯映林.飞机翼身对接装配中的接头测量与评价技术[J].浙江大学学报,2011,45(2):201-208.
    [22]王少锋,张进华,刘志刚,等.大型飞机机身壁板装配位姿调整系统的运动规划[J].西安交通大学学报,2011,45(3):102-106.
    [23]于修洪,项辉宇,牛凯.虚拟现实技术在机械产品装配中的应用[J].现代制造工程,2011,(5):39-42.
    [24]杨科,李艳芳.发电机无键连接部件温差法装配技术探究[J].科技情报开发与经济,2011,21(12):313-314.
    [25] Suzuki T, Ohashi T, Asano M, et al. Assembly Reliability Evaluation Method (AREM) [J].CIRP Annals -Manufacturing Technology,2003,52:9-12.
    [26]李杨,梁春波,李杰,等.可靠性分析在提高安全阀产品装配合格率中的应用[J].阀门,2008(1):35-37.
    [27]游文明.曲轴臂与曲轴销间装配精度的可靠性设计[J].机械设计与制造,1999(4):5-7.
    [28]余顺年,杨国亮.基于价值分析的装配尺寸链公差可靠性优化分配[J].机械设计与制造,2000(4):3-4.
    [29]王波,唐晓青,耿如军.机械产品装配关系建模[J].北京航空航天大学学报,2010,36(1):71-76.
    [30] MANTRIPRAGADA R,WHITNEY D E.Modeling and controlling variation propagation in mechanical assemblies using state transition modes[J]. IEEE Transactions on Robotics and Automation,1999,15(1):124-140.
    [31] Pavlov V V. Theoretical base of assembly for airplane and whirlybird[M].Moscow: Press M AI,1993,1-20.
    [32]张博,张洪涛,赵珊珊,等.基于多色集合理论的产品装配规划建模与算法研究[J].西安交通大学学报,2005,39(11):1254-1258.
    [33] Lee k, Gossad D C.A hierarchical data structure for representing assemblies:Part 1[J]. Computer-Aided Design,1985,17(1):8-12.
    [34]张开富,李原,邵毅,等.一种集成装配过程信息的装配建模方法[J].西北工业大学学报,2005,23(2):222-226.
    [35]于建明,蔡建国.装配建模及装配顺序分层规划方法研究[J].机械科学与技术,2000,19(4):671-673.
    [36]董兴辉,高陆,徐晓慧,等.协同装配信息集成建模及装配顺序规划研究[J].计算机辅助设计与图形学学报,2003,15(7):823-827.
    [37] TSINARAKIS G J,TSOURVELOUDISN C,VALAVANIS K P. Studying multi-assembly machine production systems with hybrid timed Petri-nets[C]//Proceedings of the 2005 IEEE International Conference on Automation Science and Engineering, August 1-2,2005,Edmonton, Canada.Piscataway,NJ:IEEE Service Center,2005:1-6.
    [38]方水良,杨维学,李金华.自上而下产品设计中的自适应装配建模[J].计算机集成制造系统,2008,14(11):2150-2154.
    [39]褚连娣.基于SolidWorks的装配体设计建模技术研究[J].机械工程与自动化,2011,(3):32-34.
    [40]张根保,葛红玉.GO法在产品装配过程质量分析中的应用研究[J].中国机械工程,2010,21(22):2689-2692.
    [41]冯子明,邹成,刘继红.飞机关键装配特性的识别与控制[J].计算机集成制造系统,2010,16(12):2552-2556.
    [42]张祥祥,王仲奇,康永刚.飞机柔性装配集成控制技术研究[J].计算机应用,2011(2):113-117.
    [43]于鸿彬,郭伟,赵家黎.混合装配线装配质量控制方法研究[J].电子器件,2007,30(1):321-324.
    [44] CHAN S P,LIAW H C. Generalized impedance control of robot for assembly tasks requiring compliant manipulation[J]. IEEE Trans on Industrial and Electronics,1996,43(4):453-461.
    [45]莫巨华,黄敏,王兴伟.基于模糊控制的拉式策略在装配生产控制中的应用[J].自动化学报,2011,37(1):118-122.
    [46] VIJIAYKUMAR G,ANDREW G B,RODERIC A G.Learning admittance mapping for force_guided assembly[A]. Proc of the IEEE Int Conference on Robotics and Automation[C]. San Diego:IEEE Computer Society Press,1994,2633-2638.
    [47]刘检华,白书清,段华,等.面向手工装配的计算机辅助装配过程控制方法[J].计算机集成制造系统,2009,15(12):2391-2398.
    [48]敬石开,李连升,刘继红.Web环境下协同装配系统的并发控制[J].北京航空航天大学学报,2009,35(10):1249-1253.
    [49]王珉,薛少丁,陈文亮,等.面向飞机自动化装配的单向压紧制孔毛刺控制技术[J].航空制造技术,2011,(9):26-29.
    [50]孙德厂,史海波,彭慧,等.客车装配过程生产控制系统[J].信息与控制,2011,40(1):83-89.
    [51]朱继洲.故障树原理和应用[M].西安:西安交通大学出版社,1989.
    [52] Roberts, N.H.Fault Tree Handbook U.S.Nuolear Regulatory Commission, Wash-ington, D.C.,1980.
    [53]徐维新.故障树分析法[M].西安:陕西电子编辑部出版社,1986.
    [54]吴祖育,秦鹏飞.数控机床[M].第2版.上海:上海科学技术出版社,1996.
    [55]毕承恩,丁乃建.现代数控机床[M].北京:机械工业出版社,1991.
    [56]夏凤芳.数控机床[M].北京:哈尔滨工程大学出版社,2004.
    [57]林奕鸿.机床数控技术及其应用[M].北京:机械工业出版社,1994.
    [58]于华.数控机床的编程及实例[M].北京:机械工业出版社,1996.
    [59]任玉田.机床计算机数控技术[M].北京:北京理工大学出版社,1996.
    [60]廉元国,张永洪.加工中心设计与应用[M].北京:机械工业出版社,1995.
    [61]姜帆,杨振宇,何佳兵.自动化装配设备的总体设计[J].机电工程技术,2011,40(7):131-133.
    [62]张根保,葛红玉,王国强,等.可靠性驱动装配过程建模方法研究[J].农机学报,2011,42(10):192-196.
    [63] Assembly Automation W B.Heignbotham.Aflexible System for the Assembly of Gas Valves[J].IFS(Pubrications)Ltd, Bedford, England. 1987.5(2).
    [64] Boothroyd G. Poli&L.Murch.C.Automatic Assembly[M].Dekker, N.Y.,1982.
    [65]哈尔滨工业大学,上海工业大学.机械制造工艺规程制订及装配尺寸链[M].上海:上海科学出版社,1980.
    [66]楚文龙,李英杰,杨冬.基于卧式加工中心主轴箱的可靠性增长技术研究[J].设计与研究,2011(2):17-18.
    [67]徐文征.GO法理论及应用研究[D].北京轻工业学院,1999.
    [68]顾丽敏.GO法在引信可靠性分析中的应用[D].南京理工大学,2006,6.
    [69]王桂丽.系统可靠性分析GO法及其应用的研究[D].哈尔滨工业大学,2006,6.
    [70] D.E.Wood,N.J.Becar.Risk Analysis of a Spent Fuel Received and Storage Facility Using the GO methodology.KSC-1006-1,Kaman Sciences Corporation,March 1979.
    [71] R.L.Williams,W.Y.Gateley.GO Methodology-Overview. EPRI-NP-765,Kaman Sciences Corporation, May 1978.
    [72] R.L.Williams, W.Y.Gateley. GO Methodology-System Reliability Assessment and Computer Code Manual. EPRI-NP-766,Kaman Sciences Corporation,May 1978.
    [73] B.B.Chu.GO Methodology-Fault Sequence Identification and Computer Code Manual. EPRI-NP-767, Kaman Sciences Corporation, May 1978.
    [74] B.B.Chu.GO Methodology:GO Modeling Manual. EPRI NP-3123, Vol.3,Electric Power Research Institute, 1983.
    [75] B.B.Chu.GO Methodology: Program and User’s Manual. EPRI NP-3123, Vol.6,Electric Power Research Institute, 1983.
    [76] Shen Zupei, Gao Jia,Huang Xiangrui. A New Quantification Algorithm for the GO Methodology[J]. Reliability Engineering and System Safety.2000,67(3):241-247.
    [77] Shen Zupei,Gao Jia,Huang Xiangrui. An exact algorithm dealing with shared signals in the GO Methodology[J].Reliability Engineering and System Safety.2001,73(2):177-181.
    [78] Shen Zupei,Wang Yao,Huang Xiangrui.A quantification algorithm for a repairable system in the Gomethodology[J].Reliability Engineering and System Safety.2003,80(3):293-298.
    [79] Anon.GO Methodology Em Dash Overview[J]. Electric Power Research Institute(Report)EPRINP, 1978(5):91.
    [80] Lainoff, Samuel M..Use of the GO Methodology in the Design of an Emergency and Plant Information Computer(EPIC)System[C].ASQC,1985:77-81.
    [81] Lentz Thomas. Applications of the Premature State of the GO Methodology[C]. ASQC,1985:86-90.
    [82]徐荆州,李杨,陈霄.基于GO法的配电网可靠性评估[J].电力系统及其自动化学报,2006,(10):67-69.
    [83]丁素芳,黄华梁,王素暖.基于GO法的装载机液压系统的可靠性研究[J].设备设计与维修,2005,(12):114-117.
    [84]郭强,赵新文,蔡琦.反应堆安全注射系统的GO法可靠性分析[J].核动力工程,2007,(4):91-94.
    [85]邢修三.物理熵、信息熵及其演化方程[J].中国科学,2001,31(1):78-86.
    [86] S.S.Dragomir. An Inequality for Logarithmic Mapping and Applications for the Shannon Entropy[J].Computers and Mathematics with Applications,2003,46(8):1273-1279.
    [87] A.L.Amadori.R.Natalini.Entropy Solutions to a Strongly Degenerate Anisotropic Convection Diffusion Equation with Application to Utility Theory[J].Journal of Mathematical Analysis and Applications,2003,284(2):511-531.
    [88] Won Hyo Yoon.Systematic Bayes prior-assignment by coupliing the mini-max entropy and moment-matching methods,Reliability[J].IEEE Transactions on,1994,43(2):279-287.
    [89] S.Aviyente.,Williams,W.J.Minimum entropy time-frequency distributions[C].// IEEE Signal Processing Letters,2005:37-40.
    [90]王宏禹,练兵.信息熵通过系统变化规律的研究[J].大连理工大学学报,1995,35(4):544-548.
    [91]孟庆生.信息论[M].西安:西安交通大学出版社,1986:10-19.
    [92]张岐山,郭喜江.灰关联熵分析方法[J].系统工程理论与实践,1996(8):7-11.
    [93] Yifeng Zhou,H.Leung.Minimum entropy approach for multisensor data fusion. Proceedings[C].// IEEE Signal Processing Workshop, 1997:336-339.
    [94]邱菀华.管理决策与应用熵学[M].北京:机械工业出版社,2000.
    [95] Verdi Sergio.Fellow Fifty Years of Shannon Theory[J].IEEE Transactions on information theory, 1998:44(6),2057-2078.
    [96]陈光,韩秀玲.概率和信息理论的不完备性及其基于有限精度函数理论的改进[OL].中国科技论文在线,2007(2).
    [97]朱雪龙.应用信息理论基础[M].北京:清华大学出版社,2001.
    [98]傅祖云.信息论-基础理论与应用[M].北京:电子工业出版社,2004.
    [99]曲炜,朱诗兵.信息论基础及应用[M].北京:清华大学出版社,2005.
    [100] Renyi A.On Measures of Entropy and Information,Proceedings of the Fourth Berkeley Symposium on Mathematics[J].Statistics and Probability, 1961,(1):547-561.
    [101]吴红梅,金鸿章.基于熵理论复杂系统的脆性[J].中南大学学报,2009,40(9):347-351.
    [102]王彬.基于知识的机械产品概念设计过程防错理论与方法研究[D].北京:北京航空航天大学,2008.
    [103]刘金福,于达人,胡清华.基于加权熵的重要性不对等样本学习的知识约简[J].广西师范大学学报,2006,24(4):38-41.
    [104]王旭,葛显龙,林云.供应商选择的双层规划模型及求解分析[J].计算机工程与应用,2009,45(23):11-14.
    [105]葛红玉,张根保.机械产品装配质量缺陷源熵的算法及求解分析[J].计算机应用研究,2010,27(10): 3807-3809.
    [106] Pavlov V.V.Polychromatic sets and graphs for CALS[M].Moscow:STANKIN Press,2000.
    [107]李宗斌.先进制造多色集合理论的研究及应用[M].北京:中国水利水电出版社,知识产权出版社,2005.
    [108] Li Z B, Xu L D.Polychromatic sets and its application in simulation complex objects and systems[J]. Computers & Operations Research, 2003,30(6):851-860.
    [109]李果,高建民,陈富民,等.基于多色集合的贝叶斯诊断网络构造方法研究[J].西安交通大学学报,2007,41(11):1262-1266.
    [110]张博,李宗斌.采用多色集合理论的公差信息建模与推理技术[J].机械工程学报,2005,41(10):111-116.
    [111]柳和生,王瑜,饶锡新.多色集合在再制造工艺加工中的应用[J].南昌大学学报,2008:64-67.
    [112]李重午.基于多色集合理论的产品装配序列规划系统的研究与开发[D].西安:西安交通大学,2002.
    [113] Pavlov.V.V.Polychromatic sets and graphs for CALS in machine building[M].Moscow:Stankin Press,2002.
    [114] LIZB,XuLD.Polychromatic sets and its applications imulating complex objects and systems[J]. Computers&Operations Research,2003:30(6):851-860.
    [115]李宗斌,李天石.多色图及其在仿真复杂对象及系统时的应用[J].系统仿真学报.2001,13(6):759-762.
    [116]彭财辉.基于工作流和多色图版本管理的PDM系统的研究与开发[D].上海海运学院.2004.
    [117]王小章.大规模定制生产中产品配置及其实现方法的研究[D].西安交通大学,2004.
    [118]维.维.巴普洛夫,李宗斌,高峰.多色集合在加工系统建模和分析时的应用[J].西安交通大学学报,2001,35(9):926-929.
    [119] Pavlov V.V.Polychromatic Graph of Mathematics Simulation for Technical System[C].Proceedings of Scientific and Technical Conference ,Plovdiv,Bulgaria.1988:8-10.
    [120] Pavlov V.V.Mathematics Simulation of Discrete Production System[C].Information Technoloty,1995:15-19.
    [121]王小章,杨培林,陈晓南,等.基于多色图理论的产品结构配置模型[J].机械科学与技术,2004,23(11):1293-1296.
    [122]朱景,李宗斌,高新勤.基于多色集合的工作流建模及路径求取算法[J].西安交通大学学报,2006,40(3):348-352.
    [123] Liu S.F.,Lin Y. Grey information theory and practical applications[M]. London : Springer-Verlag,2006.
    [124]邓聚龙.灰色控制系统[J].华中工学院学报,1982,10(3):9-17.
    [125]邓聚龙.本征性灰色系统的主要方法[J].系统工程理论与实践,1986,6(1):60-65.
    [126]邓聚龙.灰色系统基本方法[M].武汉:华中理工大学出版社,1987.
    [127] Deng Julong.Grey information space[J].Journal of Grey Systems,1989,1(2):103-117.
    [128] Li Qiaoxing,Liu Sifeng. The foundation of the grey matrix and the grey input-output analysis[J].Applied Mathematical Modelling,2007,26.
    [129]邓爱民.高可靠长寿命产品可靠性技术研究[D].长沙:国防科技大学研究生院,2006.
    [130]贾振元,马建伟,王福吉,等.多零件几何要素影响下的装配产品特性预测方法[J].机械工程学报,2009,45(7):168-173.
    [131]李中凯,冯毅雄,谭建荣,等.基于灰色系统理论的质量屋中动态需求的分析与预测[J].计算机集成制造系统,2009,15(11):2272-2279.
    [132]黄继.灰色多变量GM(1, Nτ,γ)模型及其粒子群优化算法[J].系统工程理论与实践,2009,29(10):145-151.
    [133] Wu W Y, Chen S P.A prediction method using the grey model GM(1, N )combined with the grey relational analysis: A case study on internet access population forecast[J].Applied Mathematics and Computation,2005,169:198-271.
    [134] TOSUN N. Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis[J].Journal of Advanced Manufacturing Technology,2006,28(5/6):450-455
    [135]邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2002(9).
    [136]刘思峰,郭天榜,党耀国.灰色系统理论及其应用[M].北京:科学出版社,1999.
    [137]李孜军.1992-2001年我国灰色系统理论应用研究进展[J].系统工程,2003(5):8-12.
    [138] Deng Julong.The Unit of Introduction Representation in Grey System Theory[J].The Journal of Grey System,1991(2):87-106.
    [139] Liu Sifeng.Emergence and Development and Forward Trend of Grey System Theory[C]. Proceeding of the 32nd international Conference on Computers and Industrial Engineering, 2003(2):526-531.
    [140] Z.Wang,Y.Gao,P.Qin.Detection of Gross Measurement Errors Using the Grey System Mthod[J].Int J Adv Manuf Technol,2002(19):801-804.
    [141] Xia X,Chen X,Zhang Y, et al.Grey bootstrap method of evaluation of uncertainty in dynamic measurement[J].Measurement,2008,41(6):687-696.
    [142]袁嘉祖.灰色系统理论及其应用[M].北京:科学出版社,1991.
    [143] Li Sifeng,Forrest J.Advances in grey systems theory and its applications[C].//IEEE International Conference on Grey Systems and Intelligent Services,2007.
    [144] Mian-Yun C.Uncertainty analysis and grey modeling[C].//First International Symposium on Uncertainty Modeling ans Analysis.1990.
    [145]吕佳良,张振刚.基于灰色关联指标筛选的BP神经网络中长期电力负荷滚动预测马尔可夫残差修正模型研究[J].华东电力,2008,36(9).
    [146]耿德祥,孙惠合,汪顺勤.灰色线性回归在冬小麦产量长期预测中的应用[J].安徽农业科学,2009,37(24):11337-11344.
    [147]肖新平,宋中民,李锋.灰技术基础及其应用[M].北京:科学出版社,2005.
    [148]温丽华.灰色系统理论及其应用[D].哈尔滨:哈尔滨工程大学,2003.
    [149]鲁胜强.基于灰色系统理论的图像去噪算法研究[D].武汉:武汉理工大学,2008.
    [150]李雪莲.灰色系统理论及其在医学图像处理中的应用[D].哈尔滨:哈尔滨工程大学,2005.
    [151]马苗,范养余,谢松云,等.基于灰色系统理论的图像边缘检测新算法[J].中国图像图形学报,2003,8 (10):1136-1139.
    [152]胡鹏,傅仲良,陈楠.利用灰色理论进行图像边缘检测[J].武汉大学学报,2006,31(5):411-414.
    [153]何新军.灰色理论在感应电动机直接转矩控制中的应用[J].电机电器技术,2001,12(2):12-15.
    [154]曹承志,张宇,陈忠党.灰色预测模糊控制器在DTC中的应用[J].微电机,2010,43(1):57-60.
    [155]田旭光,蔡金燕.基于灰色预测理论的测量仪器校准周期的确定[J].自动化仪表,2007,28(12):12-14.
    [156]罗庆龙.灰色线性规划与应用[M].江苏科学技术出版社,1989.
    [157]管继春.GM(1,N)动态模型研究方法在高水平运动员训练状态分析与决策研究中的应用[J].体育与科学,1998,19(3):49-51.
    [158]苏博,刘鲁,杨方廷.GM(1,N)灰色系统与BP神经网络方法的粮食产量预测比较研究[J].中国农业大学学报,2006,11(4):99-104.
    [159]王建林,王宪彬,太华杰.中国粮食总产量预测方法研究[J].气象学报,2000,58(6):738-744.
    [160] Guo-Dong Li,Daisuke Yamaguchi and Masatake Nagai. A grey-based decision-making approach to the supplier selection problem[J].Mathematical and Computer Modelling, 2007,46(3):573-581.
    [161] J.L.Lin, C.L.Lin.The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics[J]. International Journal of Machine Tools and Manufacture,2002,42(2):237-244.
    [162] Wan-Yih Wu,Shuo-Pei Chen.A prediction method using the grey model GMC(1,N) combined with the grey relational analysis:a case study on Internet access population forecast[J].Applied Mathematics and Computation.2005,169(1):198-217.
    [163] Hsin-His Lai, Yang-Cheng Lin,Chung-Hsing Yeh.Form design of product image using grey relational analysis and neural network models[J].Computers & Operations Research. 2005,32(10):2689-2711.
    [164] Zhang Jijun,Wu Desheng, D.L.Olson.The method of grey related analysis to multiple attribute decision making problems with interval numbers[J].Mathematical and Computer Modelling.2005,42(9):991-998.
    [165] Xiao,XP,Chong,XL,et al.Grey relational analysis and application of hybrid index sequences[J].Dynamics of Continuous Discrete and Impulsive Systems-series B-Applications & Algorithms.2006,13:915-919.
    [166] Chin-Tsai Lin,Shih-Yu Yang.Forecast of the output value of Taiwan’s opto-electronics industry using the Grey forecasting model[J].Technological Forecasting and Social Change.2003,70(2):177-186.
    [167] C.-H.Chiao and W.Y.Wang.Reliability improvement of fluorescent lamp uding grey forecasting model[J].Microelectronics Reliability.2002,42(1):127-134.
    [168] Ku L.L.,Huang TC.Sequential monitoring of manufacturing processes:an application of grey forecasting models[J].International Journal of Advanced Manufacturing Technology. 2006,27(5):543-546.

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