| AMSAA-BISE模型及其统计推断 |
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| 引用本文： | 周源泉,翁朝曦. AMSAA-BISE模型及其统计推断[J]. 系统工程与电子技术, 1991, 0(11) |
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| 作者姓名： | 周源泉 翁朝曦 |
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| 作者单位： | 北京强度与环境研究所(周源泉)，北京强度与环境研究所(翁朝曦) |
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| 基金项目： | 国家“七五”重点科技攻关课题“75-53-08-2/03”的研究成果之一 |
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| 摘 要： | 本文将AMSAA模型推广到多台系统同步开发的可靠性增长试验的情况,所以,命名为AMSAA-BISE~2模型。文中对定数及定时截尾数据给出了Weibull过程参数的极大似然(ML)估计和无偏估计,系统达到MTBF的置信区间和拟合优度检验方法。
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| 关 键 词： | 可靠性试验 可靠性预计模型 系统故障 检验 极大似然估计 统计推断 |
AMSAA-BISE Model and Its Statistical Inference |
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| Zhou Yuanquan and Weng ZhaoxiBeijing Institute of Structure and Environment. AMSAA-BISE Model and Its Statistical Inference[J]. System Engineering and Electronics, 1991, 0(11) |
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| Authors: | Zhou Yuanquan and Weng ZhaoxiBeijing Institute of Structure and Environment |
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| Affiliation: | Zhou Yuanquan and Weng ZhaoxiBeijing Institute of Structure and Environment |
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| Abstract: | In this paper, the AMSAA model is generalized to the reliability growth testing of multi-system simultaneous development, therefor it is denominated AMSAA-BISE model[2]. The ML and unbiased estimates of the parameters for the weibull process, the confidence intervals of the achieved MTBF of system and a goodness of fit test are given from faiure-truncated data and time-truncated data. |
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| Keywords: | Reliability demonstration. Reliability predication model System failure. Maximum likelihood estimate. Statistical inference. |
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