数控机床可靠性评估中的边界强度过程

上海交通大学学报（自然版） ›› 2012, Vol. 46 ›› Issue (10): 1622-1626.

数控机床可靠性评估中的边界强度过程

王智明1, 杨建国2

(1. 淮海工学院机械工程学院，江苏连云港 222005;2. 上海交通大学机械与动力工程学院，上海 200240)

收稿日期:2012-02-24 出版日期:2012-10-30 发布日期:2012-10-30
基金资助:
国家科技重大专项资助项目(2009ZX04014022)

Bounded Intensity Process and Its Applications in Reliability Assessment of NC Machine Tools

WANG Zhi-Ming-1, YANG Jian-Guo-2

(1. School of Mechanical Engineering, Huaihai Institute of Technology, Lianyungang 222005, Jiangsu, China; 2. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)

Received:2012-02-24 Online:2012-10-30 Published:2012-10-30

摘要/Abstract

摘要： 基于Akaike 信息准则(AIC)、Bayesian 信息准则(BIC)及故障数据拟合的均方根误差(RMSE)，提出了可修系统可靠性分析的非齐次泊松过程模型的选择方法，利用最大似然估计的渐近对数正态分布特性，用Fisher信息矩阵法给出了边界强度过程模型参数及系统可靠性指标的点估计及区间估计，分析了多台数控机床时间截尾的故障过程.结果表明，对于维修频繁的性能恶化数控机床，边界强度故障模型适合于其可靠性评估.

关键词: 边界强度过程, 可修系统, 最大似然估计, 数控机床, , 可靠性评估

Abstract: Based on Akaike information criterion, Bayesian information criterion and the root-mean-square error of the fitting failure data, the best non-homogeneous Poisson process model of reliability analysis for repairable system was proposed. The point maximum likelihood and interval estimators of the parameters, as well as the reliability indices of the bounded intensity process model were given using the asymptotic lognormal distribution of the maximum likelihood estimation and the Fisher information matrix method. The failure data with time truncation of multiple NC machine tools were analyzed. The results show that the bounded intensity process is suitable for reliability assessment of deterioration machine tools with frequent maintenance actions.

Key words: bounded intensity process, repairable system, maximum likelihood estimation, NC machine tool, reliability assessment

中图分类号:

王智明1, 杨建国2. 数控机床可靠性评估中的边界强度过程[J]. 上海交通大学学报（自然版）, 2012, 46(10): 1622-1626.

WANG Zhi-Ming-1, YANG Jian-Guo-2. Bounded Intensity Process and Its Applications in Reliability Assessment of NC Machine Tools[J]. Journal of Shanghai Jiaotong University, 2012, 46(10): 1622-1626.

参考文献

［1］Marshall S E, Chukova S. On analysing warranty data from repairable items［J］. Quality and Reliability Engineering International, 2010, 26(1): 4352.
［2］敖长林, 李一军, 闫相斌, 等. 基于非齐次泊松过程的拖拉机发动机使用可靠性［J］. 机械工程学报, 2007, 43(10): 206210.
AO Changlin, LI Yijun, YAN Xiangbin, et al. Operational reliability of tractor engines based on nonhomogeneous Poisson process［J］. Chinese Journal of Mechanical Engineering, 2007, 43(10): 206210.
［3］TAN Furong, JIANG Zhibin, BAI Tongshuo. Reliability analysis of repairable systems using stochastic point processes ［J］. Journal of Shanghai Jiaotong University, 2008, 13(3): 366369.
［4］王智明, 杨建国, 王国强, 等. 多台数控机床最小维修的可靠性评估［J］. 哈尔滨工业大学学报, 2011, 43(7): 127130.
WANG Zhiming, YANG Jianguo, WANG Guoqiang, et al. Reliability assessment of multiple NC machine tools with minimal repair ［J］. Journal of Harbin Institute of Technology, 2011, 43(7): 127130.

［5］Pulcini G. A bounded intensity process for the reliability of repairable equipment ［J］. Journal of Quality Technology, 2001, 33(4): 480492.
［6］Louit D M, Pascual R, Jardine A K S. A practical procedure for the selection of timetofailure models based on the assessment of trends in maintenance data［J］. Reliability Engineering and System Safety, 2009, 94(10): 16181628.
［7］Viertava J, Vaurio J K. Testing statistical significance of trends in learning, ageing and safety indicators［J］. Reliability Engineering and System Safety, 2009, 94(6):11281132.
［8］Meeker W Q, Escobar L A. Statistical methods for reliability data［M］. New York: John Wiley & Sons, 1998.
［9］Nelson W. Accelerated testing: Statistical methods, test plans, and data analysis ［M］. New York: John Wiley & Sons, 1990.
［10］张英芝, 申桂香, 薛玉霞, 等. 随机截尾数控机床故障过程［J］. 吉林大学学报: 工学版, 2007, 37(6): 13461348.
ZHANG Yingzhi, SHEN Guixiang, XUE Yuxia, et al. Failure process for numerical control machine with random ending method ［J］. Journal of Jilin University: Engineering and Technology Edition, 2007, 37(6): 13461348.

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