Weibull分布定时无失效数据寿命分散系数

张勇波; 傅惠民; 王治华

Weibull分布定时无失效数据寿命分散系数

北京航空航天大学小样本技术研究中心, 北京 100191

基金项目: 中国博士后科学基金(2011M500221)

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出版历程
- 收稿日期: 2011-04-01
- 修回日期: 2012-02-01
- 刊出日期: 2012-04-28

Fatigue life scatter factor analysis for time truncated zero-failure data based on Weibull distribution

Research Center of Small Sample Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 提出一种Weibull分布定时无失效数据疲劳寿命分散系数修正方法,定义了定时无失效数据情形下分散系数的修正系数,推导了其计算公式.定时无失效数据与完全数据截然不同,因此其疲劳寿命分散系数明显不同,从疲劳分散系数的定义出发,分别对定时无失效数据情形下基于平均寿命、特征寿命、中位值寿命、最小寿命及最大寿命的两参数Weibull分布疲劳寿命分散系数进行了修正.最后对完全数据与定时无失效数据条件下分散系数计算数值进行了对比分析,结果表明分散系数的修正充分利用了产品的寿命信息,提高了产品安全寿命的预测精度,且修正系数易于计算,便于工程应用.
- Weibull分布 /
- 定时无失效数据 /
- 疲劳寿命 /
- 分散系数 /
- 可靠性
Abstract: A method was introduced for correction of fatigue life scatter factor based on time truncated zero-failure data contributing to Weibull distribution. The formula of scatter factor correction coefficient was defined and proved detailedly following time truncated zero-failure data. For the completed date is basically different from the truncated zero-failure data, their fatigue life scatter factor is significantly different. Therefore, according to the definition of fatigue life scatter factor, five kinds of fatigue life scatter factors was corrected,which based on average life, character life, median life, mini life, max life respectively for two parameter Weibull distribution of time truncated zero-failure data. A comparison of fatigue life scatter factor between the complete data was introduced for analysis, and the results show that the method implied in this paper can fully make use of the information of time truncated zero-failure data,and improve the forecasting precision of safe fatigue life significantly. Also the correction coefficient is easy for calculation and convenient for engineering.
- Weibull distribution /
- time truncated zero-failure data /
- fatigue life /
- scatter factor /
- reliability

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参考文献(15)

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