| 多台数控机床的时间截尾可靠性评估 |
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| 引用本文： | 王智明,杨建国,王国强,张根保.多台数控机床的时间截尾可靠性评估[J].哈尔滨工业大学学报,2011,43(3):85-89. |
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| 作者姓名： | 王智明 杨建国 王国强 张根保 |
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| 作者单位： | 上海交通大学机械与动力工程学院;上海交通大学机械与动力工程学院;重庆大学机械工程学院先进制造技术实验室;重庆大学机械工程学院先进制造技术实验室 |
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| 基金项目： | 高等学校全国优秀博士学位论文作者专项资金资助项目(200131);“高档数控机床与基础制造装备”科技重大专项资助项目(2009ZX04014-016) |
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| 摘 要： | 为了评估数控(NC)机床的可靠性,提出了用AIC、BIC信息准则选择多台NC机床故障间隔时间的分布模型和模型参数的方法.用Fisher信息矩阵法(FM)给出了模型参数和机床平均寿命的可靠度及可靠度为90%时的工作保证时间的区间估计,用Monte Carlo(MC)仿真法扩大少样本数据的样本容量,提高了区间估计的精度.结...
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| 关 键 词： | 多台数控机床 时间截尾 可靠性评估 信息准则 置信区间 |
Reliability evaluation of multiple NC machine tools with time truncation |
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| WANG Zhi-ming,YANG Jian-guo,WANG Guo-qiang and ZHANG Gen-bao.Reliability evaluation of multiple NC machine tools with time truncation[J].Journal of Harbin Institute of Technology,2011,43(3):85-89. |
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| Authors: | WANG Zhi-ming YANG Jian-guo WANG Guo-qiang and ZHANG Gen-bao |
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| Affiliation: | School of Mechanical Engineering,Shanghai Jiaotong University,200240 Shanghai,China;School of Mechanical Engineering,Shanghai Jiaotong University,200240 Shanghai,China;Advanced Manufacturing Technology laboratory,College of Mechanical Engineering,Chongqing University,400030 Chongqing,China);Advanced Manufacturing Technology laboratory,College of Mechanical Engineering,Chongqing University,400030 Chongqing,China) |
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| Abstract: | To evaluate the reliability of NC machine tools,based on AIC and BIC information criteria,a method of model selection and parameter estimation for time-between-failures of multiple NC machine tools with time truncation is proposed.The confidence intervals of model parameters,the reliability given MTBF(mean time between failures) and the warranty time with 90% reliability are all given by Fisher Information Matrix method.At last,Monte Carlo simulation method is used to enlarge sample size of small-sample data to improve the precision of interval estimation.The results show that the interval length of reliability given MTBF and warranty time with 90% reliability are both reduce by 95% and 93% respectively. |
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| Keywords: | multi-NC machine tools time truncation reliability evaluation information criterion confidence interval Monte Carlo(MC) |
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