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Modeling imperfectly repaired system data via grey differential equations with unequal-gapped times

机译:通过具有不等间隔时间的灰色微分方程对不完全修复的系统数据进行建模

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In this paper, we argue that grey differential equation models are useful in repairable system modeling. The arguments starts with the review on GM(1,1) model with equal- and unequal-spaced stopping time sequence. In terms of two-stage GM(1,1) filtering, system stopping time can be partitioned into system intrinsic function and repair effect. Furthermore, we propose an approach to use grey differential equation to specify a semi-statistical membership function for system intrinsic function times. Also, we engage an effort to use GM(1,N) model to model system stopping times and the associated operating covariates and propose an unequal-gapped GM(1,N) model for such analysis. Finally, we investigate the GM(1,1)-embed systematic grey equation system modeling of imperfectly repaired system operating data. Practical examples are given in step-by-step manner to illustrate the grey differential equation modeling of repairable system data.
机译:在本文中,我们认为灰色微分方程模型在可修复系统建模中很有用。参数以对等距和不等距停止时间序列的GM(1,1)模型进行回顾开始。根据两阶段GM(1,1)滤波,系统停止时间可以分为系统固有功能和修复效果。此外,我们提出了一种使用灰色微分方程来指定系统内在函数时间的半统计隶属函数的方法。此外,我们致力于使用GM(1,N)模型来建模系统停止时间和相关的操作协变量,并提出了不等距的GM(1,N)模型进行此类分析。最后,我们研究了不完全修复的系统运行数据的GM(1,1)嵌入的系统灰色方程系统建模。逐步给出了实际示例,以说明可修复系统数据的灰色微分方程建模。

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