基于序化建模的多阶段含延缓纠正的可靠性增长分析
首发时间:2009-01-15
摘要:对于多阶段含延缓纠正的可靠性增长试验,各个阶段内的试验数据分别服从参数不同的Weibull过程。针对现场样本少、传统的可靠性评估方法实施困难的问题,首先在获得各阶段形状参数的基础上,对各个阶段截尾时刻的失效强度建立顺序约束关系。然后,运用Bayes方法融合先验信息,获得最末阶段截尾时刻的失效强度的期望与置信上限。该结果融合了历史阶段的样本信息,优于仅利用单个阶段样本的分析结果,适用于多阶段可靠性增长试验的综合评估。
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The ordinal modeling analysis of multi-stage reliability growth with instant and delayed fix modes
Abstract:In the multi-stage reliability growth test with instant and delayed fix modes, the failure times can be assumed to follow the Weibull processes with different parameters at different stages. With only a few field samples,the traditional reliability evaluation methods meet some difficulties. Based on the estimations of stages’ shape parameters, an ordinal constraint relationship is constructed on the failure intensities at different stages’ truncated times, thus to obtain the expectation and upper limit of the failure intensity at the last stage’s truncated time with Bayesian method combining the prior information. The results make use of the previous stages’ data, show better performance than the classic method which only considers the single stage data, and can be used to implement the synthetic evaluation of multi-stage reliability growth test.
Keywords: reliability growth multi-stage test ordinal modeling Bayesian analysis
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