A study on start-up demonstration test based on finite Markov chain imbedding approach

Pan Xiang Yue; Li Rong Cui; Yu Xu; Xian Zhao

A study on start-up demonstration test based on finite Markov chain imbedding approach

Pan Xiang Yue^*
, Li Rong Cui
, Yu Xu
, Xian Zhao

^*此作品的通讯作者

Beijing Institute of Technology
Academic Research Department

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

A new method of start-up demonstration test is introduced as an alternative and extension to previous ones. The probabilistic analysis of this test under the case of independent and identical distribution is conducted using finite Markov chain imbedding approach. And a numerical example provides some promising results. Analysis results show that the new method overcomes the limitation from old ones.

源语言	英语
页（从-至）	1005-1008
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	30
期	8
出版状态	已出版 - 8月 2010

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title = "A study on start-up demonstration test based on finite Markov chain imbedding approach",

abstract = "A new method of start-up demonstration test is introduced as an alternative and extension to previous ones. The probabilistic analysis of this test under the case of independent and identical distribution is conducted using finite Markov chain imbedding approach. And a numerical example provides some promising results. Analysis results show that the new method overcomes the limitation from old ones.",

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AU - Yue, Pan Xiang

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AB - A new method of start-up demonstration test is introduced as an alternative and extension to previous ones. The probabilistic analysis of this test under the case of independent and identical distribution is conducted using finite Markov chain imbedding approach. And a numerical example provides some promising results. Analysis results show that the new method overcomes the limitation from old ones.

KW - Finite Markov chain imbedding approach

KW - Reliability

KW - Start-up demonstration test

UR - https://www.scopus.com/pages/publications/77958094859

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A study on start-up demonstration test based on finite Markov chain imbedding approach

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