Multistate Start-Up Demonstration Tests
Multistate Start-Up Demonstration Tests
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DOI：
10.1142/s0218539311004020
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
M. Smith;W. Griffith
中科院分区：
文献类型：
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作者：
M. Smith;W. Griffith
多状态启动演示试验提出和分析使用马尔可夫链的方法。新的示范试验是文献中讨论的CSTF、TSTF和CSCF启动示范试验的概括，这些试验具有重要的实际优势，即当成功启动的质量异常时，允许提前终止。当终止导致设备验收时，多状态启动演示试验的使用导致提前终止的概率增加。35在最佳的二元启动测试的情况下研究。马尔可夫链方法用于概率分析。实践指导选择测试，估计和比较的各种标准进行了研究。马尔可夫链的方法，然后扩展到研究非独立同分布。案子
Multistate start-up demonstration tests are proposed and analyzed using a Markov Chain approach. The new demonstration tests are generalizations of the CSTF, TSTF, and CSCF start-up demonstration tests discussed in the literature that have the important practical advantage of allowing for early termination when the quality of successful start-ups is exceptional. When the termination results in acceptance of the equipment, the use of a multi-state startup demonstration test results in an increase in the probability of an early termination of as much as. 35 over the optimal binary start-up test in cases studied. The Markov Chains methodology is used in the probabilistic analysis. Practical guidance on choosing tests, estimation, and comparisons of the various criteria are studied. The Markov Chain approach is then extended to study the non-i.i.d. case.