Genetic Algorithm Based Methodology for Optimal Maintenance Scheduling of Multi-Unit Systems

Ji Hong Yan; Yu Yan Wang; Xu Zhang

doi:10.4028/www.scientific.net/KEM.450.539

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 450Genetic Algorithm Based Methodology for Optimal...

Genetic Algorithm Based Methodology for Optimal Maintenance Scheduling of Multi-Unit Systems

Abstract:

This paper presents a novel methodology for optimal maintenance scheduling of multi-unit systems under predictive maintenance (PdM) environment. A maintenance scheduling model for multi-unit system is established considering performance degradation of units, dynamic characteristics of the system, economic dependence and structural dependence between units, and constraints of maintenance resources. The deterioration of units is modeled by Weibull distribution. Three maintenance actions, as minor repair, imperfect overhaul and replacement are considered to arrange the PdM schedule of a system. The genetic algorithm based methodology is employed to obtain the near optimal scheduling which results in a relatively minimal maintenance cost rate. The scheduling results demonstrate that the proposed methodology is feasible and effective.

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Periodical:

Key Engineering Materials (Volume 450)

Pages:

539-543

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.450.539

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Online since:

November 2010

Authors:

Ji Hong Yan, Yu Yan Wang, Xu Zhang

Keywords:

Genetic Algorithm (GA), Maintenance Scheduling, Multi Unit System, Predictive Maintenance (PdM)

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References

[1] Takata S, Kimura F, Van Houten FJAM. Maintenance: Changing role in life cycle management. Annals of CIRP 2004, 53(2): 643-656.

DOI: 10.1016/s0007-8506(07)60033-x

Google Scholar

[2] Djurdjanovic D, Lee J, Ni J. Watchdog Agent - An infotronics-based prognostics approach for product performance degradation assessment and prediction. Advanced Engineering Informatics 2003, 17: 109-125.

DOI: 10.1016/j.aei.2004.07.005

Google Scholar

[3] Xu Zhang. Research on maintenance decision-making method for e-maintenance: [master thesis]. Heilongjiang: Harbin Institute of Technology, School of Mechatronics. (2009).

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