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Strength-redundancy allocation problem using artificial bee colony algorithm for multi-state systems

机译:使用人工蜂菌落算法进行多状态系统的强度冗余分配问题

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摘要

The system reliability optimization design is an indispensable part in the reliability engineering. The traditional reliability-redundancy allocation problem (RRAP) is widely studied and used to optimize the system reliability. However, researchers mainly focused on the optimal redundancy and subsystem reliability strategies, which is relatively blurry in the aspect of giving designers an explicit orientation to improve the system reliability. Therefore, this paper raises a newly-defined reliability-based strength-redundancy allocation problem (SRAP) for multi-state systems based on the load-strength interference model and formulates its corresponding reliability optimization design model with the proposed continuous multi-state system reliability model as the objective function. To obtain the more specific optimal component strength and redundancy strategies, we improve the basic artificial bee colony (ABC) algorithm to solve the reliability optimization design model since the SRAP is a mixed-integer nonlinear programming problem. An illustrative example about the reliability optimization design of the solar module is given to demonstrate the availability of the proposed model.
机译:系统可靠性优化设计是可靠性工程中不可或缺的部分。传统的可靠性冗余分配问题(RRAP)被广泛研究并用于优化系统可靠性。然而,研究人员主要集中在最佳的冗余和子系统可靠性策略上,这在使设计人员明确方向以提高系统可靠性方面是相对模糊的。因此,本文提高了基于负载强度干扰模型的多状态系统的新定义可靠性的强度冗余分配问题(SRAP),并通过提出的连续多状态系统可靠性来制定其相应的可靠性优化设计模型模型作为目标函数。为了获得更具体的最佳分量强度和冗余策略,我们改善了基本的人造群菌落(ABC)算法来解决可靠性优化设计模型,因为SRAP是混合整数非线性编程问题。给出了关于太阳能模块的可靠性优化设计的说明性示例,以证明所提出的模型的可用性。

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