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作 者:Renkuan Guo Charles Ernie Love
机构地区:[1]Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa [2]Faculty of Business Administrations, Simon Fraser University, Burnaby, B. C. V5A 1S6, Canada
出 处:《International Journal of Automation and computing》2006年第2期131-144,共14页国际自动化与计算杂志(英文版)
摘 要:In this paper, we systematically discuss the basic concepts of grey theory, particularly the grey differential equation and its mathematical foundation, which is essentially unknown in the reliability engineering community. Accordingly, we propose a small-sample based approach to estimate repair improvement effects by partitioning system stopping times into intrinsic functioning times and repair improvement times. An industrial data set is used for illustrative purposes in a stepwise manner.In this paper, we systematically discuss the basic concepts of grey theory, particularly the grey differential equation and its mathematical foundation, which is essentially unknown in the reliability engineering community. Accordingly, we propose a small-sample based approach to estimate repair improvement effects by partitioning system stopping times into intrinsic functioning times and repair improvement times. An industrial data set is used for illustrative purposes in a stepwise manner.
关 键 词:Grey theory grey differential equation intrinsic functioning times repair improvement effects.
分 类 号:N941.5[自然科学总论—系统科学]
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