Modeling imperfectly repaired system data via grey differential equations with unequal-gapped times |
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Authors: | Renkuan Guo |
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Affiliation: | aDepartment of Statistical Sciences, University of Cape Town, Private Bag, Rhodes’ Gift, Rondebosh 7701, Cape Town, South Africa |
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Abstract: | 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. |
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Keywords: | GM(1 1) model GM(1 N) model System intrinsic function time Grey repair effect Systematic grey predictive equation system |
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