数控机床可靠性时间模型与维修性指标评估
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摘要
本文针对国家863 计划课题“数控装备与系统可靠性关键技术开发及应用”而提出的。根据对现有数控装备可靠性理论研究水平和数据是大样本的特点,考虑简洁、高效、准确的原则,采用威布尔概率图法求解数控机床故障间隔时间模型,并通过数值法验证其正确性;采用简单随机抽样法确定抽样方案,得出抽样样本的数目,由实际情况出发,利用游程检验法验证所采集数据的随机性,证明对数据的采集是一个连续的随机过程,同时,通过对故障概率密度函数曲线、失效率函数曲线、维修度函数曲线的分组分析,阐述该类型数控机床故障时间和维修时间分布特点与趋势;最后,总结关于数控机床维修性的一系列定性指标,建立目标层、准则层、指标层的三层结构,利用层次分析法求得各层指标的判断矩阵,利用最后得到的层次总排序判断矩阵可以明确数控机床维修性定性指标的各个重要度数值,合理安排维修计划,安排资金、人力、时间,使得对数控机床维修的决策得到优化。
1.Purpose
Based on the subject of Hi-Tech Research and Development Program of China --The research and development on the key reliability-technology of Computer Numerical Control(CNC) equipment and system , put forward the scientific research of this thesis. On the basis of the NC lathe test examining Through nearly one year , carrying a series of research on the NC machine tool failure interval time model, the NC machine tool sampling plan and the NC machine tool Maintaining stationarity.
2. The NC machine tool failure interval time model
The analysis on data is the foundation of setting up mathematics model. In order to meet the needs of calculating the Informationization, my articlet is on the basis of summarizing to the traditional probability paper of weibull,put forward a situation that the sample is more in figure, method that needn't take the tradition to draw weibull probability paper by hand, then draw weibull probability picture utilizing MATLAB. Straight line of fitting through the failure data, Confirm the Parameter of the model of interval time of the failure directly. Set up weibull 's two parameters mathematics model. This method is full of the mathematics model theory on numerical control lathe failure time analysis.
3. The NC machine tool sampling plan and grouping analysis
Basing on the actual conditions of the the NC lathe uses, meeting with the simple, convenient and practical demand, Select simple random sampling method to arrange sampling plan. Examine random properties of the sample data through visiting distance method. Prove the course is a continuous radom process to sample.at the same time, Explain characteristic and trend that this lathe failure and maintain time is base on the Function curve of failure probability density,the Function curve of Crash rate and Function curve of Maintain degree.
1.Purpose
Based on the subject of Hi-Tech Research and Development Program of China --The research and development on the key reliability-technology of Computer Numerical Control(CNC) equipment and system , put forward the scientific research of this thesis. On the basis of the NC lathe test examining Through nearly one year , carrying a series of research on the NC machine tool failure interval time model, the NC machine tool sampling plan and the NC machine tool Maintaining stationarity.
2. The NC machine tool failure interval time model
The analysis on data is the foundation of setting up mathematics model. In order to meet the needs of calculating the Informationization, my articlet is on the basis of summarizing to the traditional probability paper of weibull,put forward a situation that the sample is more in figure, method that needn't take the tradition to draw weibull probability paper by hand, then draw weibull probability picture utilizing MATLAB. Straight line of fitting through the failure data, Confirm the Parameter of the model of interval time of the failure directly. Set up weibull 's two parameters mathematics model. This method is full of the mathematics model theory on numerical control lathe failure time analysis.
3. The NC machine tool sampling plan and grouping analysis
Basing on the actual conditions of the the NC lathe uses, meeting with the simple, convenient and practical demand, Select simple random sampling method to arrange sampling plan. Examine random properties of the sample data through visiting distance method. Prove the course is a continuous radom process to sample.at the same time, Explain characteristic and trend that this lathe failure and maintain time is base on the Function curve of failure probability density,the Function curve of Crash rate and Function curve of Maintain degree.
引文
[1] 王晓峰.角逐数控机床市场.商务方法,2004(10):5-6
[2] 陈长年.展示高端数字制造装备,凸显制造单元技术.制造技术与机床,2004(9):8
[3] 吴永平.工程机械可靠性.北京:人民交通出版社,2002
[4] 陈殿生.CNC 车床维修性水平的评价.吉林大学学报(工学版),2003,33(2):13-15
[5] 张福强.机械系统维修性影响因素及数据收集.北京印刷学院学报,1995,13(2):5-7
[6] 甘茂治.维修性设计与验证.北京:国防工业出版社.1995
[7] 毕承恩.现代数控机床(下).北京:机械工业出版社.1991
[8] 宋天麟.数控机床及其使用与维修.南京:东南大学出版社.2003
[9] Lotka,A. J. A contribution to the theory of self-renewing aggregates with special reference to industrial replacement. Annual. Math. Statistic,1976,36(7):1-25
[10]Martin, P. Consequential failures in mechanical systems. Reliability Engineering, 1982,22(3):23-45
[11]袁杰红.维修性工程的发展现状与趋势. 国防科技大学学报,2000,28(9):16-21
[12]牟致忠.维修性设计.北京:上海科学技术文献出版社.1990
[13]闻邦椿.产品设计的重要性与面向产品总体质量的综合设计法.质量与工程,2003(9):11-13
[14]刘义乐. 精益维修的发展现状及组织实施方法.质量工程,2004(3):5-7
[15]葛宝山等.高技术产业化风险评价的AHP 法.系统工程理论与实践,1999(9):116-119
[16]王金亭.离散时间下串联系统的可靠性分析.北方交通大学学报,2001,18(3):122-124
[17]任建军.基于AHP 的可靠性指标确定方法研究.空军工程学院学报, 2004,15(1):101-103
[18]黄洪钟.常规可靠性理论的困境与出路探讨. 四川工业学院学报,1995, 8(2):116-120
[19]巫少龙.机床主轴模糊可靠性设计方法.机械设计与研究,2004 (12):34-37
[20]孙志杰.CNC 系统故障间隔时间的分布模型.长春理工大学学报,2002,8(4):36-39
[21]赵维涛.二阶二次矩可靠性指标.哈尔滨工程大学建筑工程学院学报, 2004,15(4):25-27
[22]杨为民.可靠性.维修性.保障性总论.北京:国防工业出版社,1995
[23]张英芝.数控系统及其主要元器件质量评估方法的研究.[硕士学位论文].长春:吉林大学,2001
[24]王莲芬.层次分析法引论. 北京:中国人民大学出版社,1990
[25]陈殿生.数控车床维修性分布数学模型的研究. 机床与液压,2004(3):25-26
[26]高尚.可靠性与维修性指标权衡.空军导弹学院学报,1998,25(10):104-106
[27]李业农.某机床的可维修性研究.机械设计与制造,2000(6):12-13
[28]李业农.某机床的可维修性研究.机械设计与制造,2001(1):45-48
[29]张强.数控系统的可靠性设计与评估技术.中国机械工程,1999(11):1280-1281
[30]王春秀.建立数控机床可靠性和维修性管理的新机制.宁夏大学学报,2001,5(6):46-51
[31]石振东.实验数据处理与曲线拟合技术. 哈尔滨:哈尔滨船舶工程学院出版社,1991
[32]高兴波.新编基础统计学.北京:经济科学出版社,2001
[33]范培文.威布尔概率纸在汽车零部件可靠性分析与评价工作中的应用. 机械与电子,2002(8):35-37
[34]李涛.matlab 工具箱应用指南.北京:电子工业出版社,2000
[35]Klein, Claude A. How to do a Weibull statistical analysis of flexural strength data: Application to AlON, diamond, zinc
selenide, and zinc sulfide, The International Society for Optical Engineering.2001(3):65-68
[36]平鹏.机械工程测试与数据处理技术.北京:冶金工业出版社,2001
[37]吴贵生.试验设计与数据处理.北京:冶金工业出版社,1997
[38]闻新.MATLAB 科学图形构建基础及应用(6.x).北京:科学出版社,2002
[39]滕敏康.试验误差与数据处理.南京:南京大学出版社,1998.198-201
[40]田连元.实验设计与数据处理.北京:中国建筑出版社,1999.40-42
[41]袁建国.抽样检验原理与应用.北京:中国计量出版社,2002
[42]杨德.试验设计与分析.北京:中国农业出版社,2002.424-429
[43]董聪.现代结构系统可靠性理论及应用. 北京:科学出版社,2001.8-9
[44]李香云.近50a 人类活动对西北干旱区水文过程干扰研究——以塔里木河流域为例. 清华大学学报,2003,23(1):12-15
[45]Robert. Johnson .Elementary Statistics.北京:科学出版社, 2003.30-33
[46]Mario F .Triola.Elementary Statistics.北京:科学出版社,2005
[2] 陈长年.展示高端数字制造装备,凸显制造单元技术.制造技术与机床,2004(9):8
[3] 吴永平.工程机械可靠性.北京:人民交通出版社,2002
[4] 陈殿生.CNC 车床维修性水平的评价.吉林大学学报(工学版),2003,33(2):13-15
[5] 张福强.机械系统维修性影响因素及数据收集.北京印刷学院学报,1995,13(2):5-7
[6] 甘茂治.维修性设计与验证.北京:国防工业出版社.1995
[7] 毕承恩.现代数控机床(下).北京:机械工业出版社.1991
[8] 宋天麟.数控机床及其使用与维修.南京:东南大学出版社.2003
[9] Lotka,A. J. A contribution to the theory of self-renewing aggregates with special reference to industrial replacement. Annual. Math. Statistic,1976,36(7):1-25
[10]Martin, P. Consequential failures in mechanical systems. Reliability Engineering, 1982,22(3):23-45
[11]袁杰红.维修性工程的发展现状与趋势. 国防科技大学学报,2000,28(9):16-21
[12]牟致忠.维修性设计.北京:上海科学技术文献出版社.1990
[13]闻邦椿.产品设计的重要性与面向产品总体质量的综合设计法.质量与工程,2003(9):11-13
[14]刘义乐. 精益维修的发展现状及组织实施方法.质量工程,2004(3):5-7
[15]葛宝山等.高技术产业化风险评价的AHP 法.系统工程理论与实践,1999(9):116-119
[16]王金亭.离散时间下串联系统的可靠性分析.北方交通大学学报,2001,18(3):122-124
[17]任建军.基于AHP 的可靠性指标确定方法研究.空军工程学院学报, 2004,15(1):101-103
[18]黄洪钟.常规可靠性理论的困境与出路探讨. 四川工业学院学报,1995, 8(2):116-120
[19]巫少龙.机床主轴模糊可靠性设计方法.机械设计与研究,2004 (12):34-37
[20]孙志杰.CNC 系统故障间隔时间的分布模型.长春理工大学学报,2002,8(4):36-39
[21]赵维涛.二阶二次矩可靠性指标.哈尔滨工程大学建筑工程学院学报, 2004,15(4):25-27
[22]杨为民.可靠性.维修性.保障性总论.北京:国防工业出版社,1995
[23]张英芝.数控系统及其主要元器件质量评估方法的研究.[硕士学位论文].长春:吉林大学,2001
[24]王莲芬.层次分析法引论. 北京:中国人民大学出版社,1990
[25]陈殿生.数控车床维修性分布数学模型的研究. 机床与液压,2004(3):25-26
[26]高尚.可靠性与维修性指标权衡.空军导弹学院学报,1998,25(10):104-106
[27]李业农.某机床的可维修性研究.机械设计与制造,2000(6):12-13
[28]李业农.某机床的可维修性研究.机械设计与制造,2001(1):45-48
[29]张强.数控系统的可靠性设计与评估技术.中国机械工程,1999(11):1280-1281
[30]王春秀.建立数控机床可靠性和维修性管理的新机制.宁夏大学学报,2001,5(6):46-51
[31]石振东.实验数据处理与曲线拟合技术. 哈尔滨:哈尔滨船舶工程学院出版社,1991
[32]高兴波.新编基础统计学.北京:经济科学出版社,2001
[33]范培文.威布尔概率纸在汽车零部件可靠性分析与评价工作中的应用. 机械与电子,2002(8):35-37
[34]李涛.matlab 工具箱应用指南.北京:电子工业出版社,2000
[35]Klein, Claude A. How to do a Weibull statistical analysis of flexural strength data: Application to AlON, diamond, zinc
selenide, and zinc sulfide, The International Society for Optical Engineering.2001(3):65-68
[36]平鹏.机械工程测试与数据处理技术.北京:冶金工业出版社,2001
[37]吴贵生.试验设计与数据处理.北京:冶金工业出版社,1997
[38]闻新.MATLAB 科学图形构建基础及应用(6.x).北京:科学出版社,2002
[39]滕敏康.试验误差与数据处理.南京:南京大学出版社,1998.198-201
[40]田连元.实验设计与数据处理.北京:中国建筑出版社,1999.40-42
[41]袁建国.抽样检验原理与应用.北京:中国计量出版社,2002
[42]杨德.试验设计与分析.北京:中国农业出版社,2002.424-429
[43]董聪.现代结构系统可靠性理论及应用. 北京:科学出版社,2001.8-9
[44]李香云.近50a 人类活动对西北干旱区水文过程干扰研究——以塔里木河流域为例. 清华大学学报,2003,23(1):12-15
[45]Robert. Johnson .Elementary Statistics.北京:科学出版社, 2003.30-33
[46]Mario F .Triola.Elementary Statistics.北京:科学出版社,2005
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