Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2022, Vol. 62 Issue (5): 965-970    DOI: 10.16511/j.cnki.qhdxxb.2022.21.002
  机械工程 本期目录 | 过刊浏览 | 高级检索 |
面向不完全维修数控机床的可靠性建模与评估
朱斌1, 王立平1, 吴军1, 赖寒松2
1. 清华大学 机械工程系, 北京 100084;
2. 四川波鸿实业有限公司, 绵阳 621000
Reliability modeling and evaluation of CNC machine tools for a general state of repair
ZHU Bin1, WANG Liping1, WU Jun1, LAI Hansong2
1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;
2. Sichuan Bohong Industrial Co., LTD., Mianyang 621000, China
全文: PDF(2136 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 数控机床是典型的机电液可修系统,维修活动既不会使机床“修复如新”,亦不会“修复如旧”,而是处于一种不完全维修状态。该文提出双重对数线性比例强度模型(S-LPIM)对不完全维修状态机床的可靠性进行建模,并采用最小二乘法给出该模型的参数估计。基于故障强度模型,求解数控机床可靠性评价指标,采用似然比检验方法对数控机床可靠性的故障趋势及修复功效进行检验。通过对3台数控加工中心可靠性建模,验证了S-LPIM模型可以拟合机床故障率浴盆曲线特性,定量描述维修活动对机床可靠性的影响。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
朱斌
王立平
吴军
赖寒松
关键词 不完全维修可靠性建模最小二乘法似然比检验    
Abstract:Computer numerical control (CNC) machine tools are typical repairable electro-hydraulic mechanical systems. Repair activities do not return the machine tool to like-new conditions, but to some intermediate state of general repair. A superposed log-linear proportional intensity model (S-LPIM) was used here to model the general repair state of machine tools using a least squares parameter estimation method. A failure intensity model was used to calculate a reliability evaluation index for the CNC machine tool with the failure probability and repair efficiency of the CNC machine tool evaluated based on the likelihood ratio test method. Tests of the reliability of three CNC machining centers verified that the S-LPIM model can fit the failure rate bathtub curve of machine tools and quantitatively describe the effect of maintenance activities on the machine tool reliability.
Key wordsgeneral state of repair    reliability modeling    least squares method    likelihood ratio test
收稿日期: 2021-09-02      出版日期: 2022-04-26
基金资助:国家重点研发计划项目(2018YFB1703502)
通讯作者: 吴军,副教授,E-mail:jhwu@tsinghua.edu.cn      E-mail: jhwu@tsinghua.edu.cn
作者简介: 朱斌(1995—),男,博士研究生。
引用本文:   
朱斌, 王立平, 吴军, 赖寒松. 面向不完全维修数控机床的可靠性建模与评估[J]. 清华大学学报(自然科学版), 2022, 62(5): 965-970.
ZHU Bin, WANG Liping, WU Jun, LAI Hansong. Reliability modeling and evaluation of CNC machine tools for a general state of repair. Journal of Tsinghua University(Science and Technology), 2022, 62(5): 965-970.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.21.002  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I5/965
  
  
  
  
  
  
  
  
  
[1] 杨兆军, 陈传海, 陈菲, 等. 数控机床可靠性技术的研究进展[J]. 机械工程学报, 2013, 49(20):130-139. YANG Z J, CHEN C H, CHEN F, et al. Progress in the research of reliability technology of machine tools[J]. Journal of Mechanical Engineering, 2013, 49(20):130-139. (in Chinese)
[2] 程强, 孙东洋, 刘志峰, 等. 基于模糊数和AHP的数控机床可靠性分配方法[J]. 组合机床与自动化加工技术, 2020(2):34-37, 42. CHENG Q, SUN D Y, LIU Z F, et al. Reliability allocation method of CNC machine tools based on fuzzy numbers and AHP[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2020(2):34-37, 42. (in Chinese)
[3] 张英芝, 贾亚洲, 申桂香, 等. 基于随机截尾的数控机床故障分布模型研究[J]. 系统工程理论与实践, 2005, 25(2):134-138. ZHANG Y Z, JIA Y Z, SHEN G X, et al. Research on model of failure distribution for numerical machine with random ending method[J]. Systems Engineering-Theory & Practice, 2005, 25(2):134-138. (in Chinese)
[4] 杨建国, 王智明, 王国强, 等. 数控机床可靠性指标的似然比检验区间估计[J]. 机械工程学报, 2012, 48(2):9-15, 22. YANG J G, WANG Z M, WANG G Q, et al. Likelihood ratio test interval estimation of reliability indices for numerical control machine tools[J]. Journal of Mechanical Engineering, 2012, 48(2):9-15, 22. (in Chinese)
[5] 许彬彬, 杨兆军, 陈菲, 等. 非齐次泊松过程的数控机床可靠性建模[J]. 吉林大学学报(工学版), 2011, 41(S2):210-214. XU B B, YANG Z J, CHEN F, et al. Reliability model of CNC machine tools based on non-homogenous poisson process[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(S2):210-214. (in Chinese)
[6] 罗静, 程家龙, 杨立波, 等. 基于非齐次泊松过程的数控系统可靠性建模[J]. 现代制造工程, 2019(9):137-140. LUO J, CHENG J L, YANG L B, et al. Reliability model of CNC system based on non-homogenous poisson process[J]. Modern Manufacturing Engineering, 2019(9):137-140. (in Chinese)
[7] 张根保, 李冬英, 刘杰, 等. 面向不完全维修的数控机床可靠性评估[J]. 机械工程学报, 2013, 49(23):136-141. ZHANG G B, LI D Y, LIU J, et al. Reliability assessment for multiple NC machine tools oriented to general repair[J]. Journal of Mechanical Engineering, 2013, 49(23):136-141. (in Chinese)
[8] WANG Z M, YANG J G. Numerical method for Weibull generalized renewal process and its applications in reliability analysis of NC machine tools[J]. Computers & Industrial Engineering, 2012, 63(4):1128-1134.
[9] 王智明. 数控机床的可靠性评估与不完全预防维修及其应用[D]. 上海:上海交通大学, 2011. WANG Z M. Reliability assessment and imperfect preventive maintenance for NC machine tools and their applications[D]. Shanghai:Shanghai Jiao Tong University, 2011. (in Chinese)
[10] 许彬彬. 基于维修程度的数控机床可靠性建模与分析[D]. 长春:吉林大学, 2011. XU B B. Study on reliability modeling and analysis of CNC machine tools based on maintenance degree[D]. Changchun:Jilin University, 2011. (in Chinese)
[11] GUO H R, LIAO H T, ZHAO W B, et al. A new stochastic model for systems under general repairs[J]. IEEE Transactions on Reliability, 2007, 56(1):40-49.
[12] 张根保, 张坤能, 王扬, 等. 多台数控机床强度函数浴盆曲线建模技术研究[J]. 机械科学与技术, 2016, 35(1):104-108. ZHANG G B, ZHANG K N, WANG Y, et al. Research on intensity function bathtub curve model for multiple CNC machine tools[J] Mechanical Science and Technology for Aerospace Engineering, 2016, 35(1):104-108. (in Chinese)
[13] 廖小波. 机床故障率浴盆曲线定量化建模及应用研究[D]. 重庆:重庆大学, 2010. LIAO X B. Quantitative modeling & application study of failure rate bathtub curve of machine tool[D]. Chongqing:Chongqing University, 2010. (in Chinese)
[1] 杜晓闯, 涂红兵, 黎岢, 张洁, 王康, 刘鹤敏, 梁漫春, 汪向伟. 基于径向基神经网络仿真γ能谱模板库的核素识别方法[J]. 清华大学学报(自然科学版), 2021, 61(11): 1308-1315.
[2] 马勋, 倪顺江, 申世飞. 基于早期监测病例的埃博拉病毒传播风险评估[J]. 清华大学学报(自然科学版), 2017, 57(8): 821-825.
[3] 唐文哲, 雷振, 王姝力, 谢坤, 张清振. 国际工程EPC项目采购集成管理[J]. 清华大学学报(自然科学版), 2017, 57(8): 838-844.
[4] 刘一民, 文俊杰, 王岚君. 基于空-时近邻与似然比检验的传感器网络异常点检测[J]. 清华大学学报(自然科学版), 2017, 57(11): 1196-1201.
[5] 李志军, 刘成颖, 孟凡伟, 周凯, 张智. 基于光栅信号的直线电机加速度估计方法[J]. 清华大学学报(自然科学版), 2015, 55(11): 1258-1263.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn