| 数控机床小样本类型子系统的可靠性建模 |
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| 引用本文： | 申桂香,陈炳锟,张英芝,邵娜,谷东伟,王志琼.数控机床小样本类型子系统的可靠性建模[J].重庆大学学报(自然科学版),2011,34(8):55-59. |
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| 作者姓名： | 申桂香 陈炳锟 张英芝 邵娜 谷东伟 王志琼 |
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| 作者单位： | 吉林大学机械科学与工程学院; |
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| 基金项目： | 国家自然科学基金项目(50875110); “高档数控机床与基础制造装备”科技重大专项(2010ZX04014-011 |
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| 摘 要： | 数控机床中很多子系统故障数很少,属于小样本的类型,使用传统经典可靠性建模方法进行建模往往会有较大的误差。对于小样本类型的故障数据,首先使用极大似然估计方法估计出各子系统故障间隔时间威布尔分布模型的参数,再采用参数偏差修正方法对各威布尔分布的模型进行修正。最后使用D检验法和误差面积比检验法检验参数偏差修正的效果,检验结果证明了修正后的模型更优。
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| 关 键 词： | 机床 小样本 可靠性 威布尔分布 参数偏差修正 |
| 收稿时间： | 3/1/2011 12:00:00 AM |
Reliability model for Subsystems of CNC machine tool with small samples |
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| SHEN Gui-xiang,CHEN Bing-kun,ZHANG Ying-zhi,SHAO N,GU Dong-wei and WANG Zhi-qiong.Reliability model for Subsystems of CNC machine tool with small samples[J].Journal of Chongqing University(Natural Science Edition),2011,34(8):55-59. |
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| Authors: | SHEN Gui-xiang CHEN Bing-kun ZHANG Ying-zhi SHAO N GU Dong-wei and WANG Zhi-qiong |
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| Institution: | SHEN Gui-xiang,CHEN Bing-kun,ZHANG Ying-zhi,SHAO Na,GU Dong-wei,WANG Zhi-qiong (College of Mechanical Science and Engineering,Jilin University,Changchun 130025,Jilin,P.R.China) |
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| Abstract: | Many subsystems in CNC machine tool have only a few failures,so they are small samples.In this case,classical reliability modeling method often has large errors.For the failure data of small sample,maximum likelihood estimation method is used to estimate the Weibull distribution model parameters of time between failures of the subsystems.Then,the Weibull distribution model parameters are modified by parameter bias correction method.Finally,the effect of bias correction parametersis tested by the D test and ... |
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| Keywords: | machine tool small sample reliability Weibull distribution parameter bias correction |
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