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Reliability growth allocation method based on fuzzy logic and AHP

机译:基于模糊逻辑和层次分析法的可靠性增长分配方法

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Reliability allocation is a critical step during the early design and development stage of a complex system. The majority of existing methods allocate reliability to individual subsystems considering diverse factors, and fail to recognize the non-linear phenomenon for failure rate to obtain the potential for improvement. The paper proposes a minimum improvement effort based reliability allocation method for allocating system level reliability improvement target to environmental stresses that subsystems will suffer. By fuzzy allocation and AHP, weightage factors of subsystems and stresses can be respectively acquired. As improvement effort is exponential with failure rate, the reliability growth effort function is modeled. With weightage factors and effort function, we put forward the objective function with minimizing the system loss. The method takes system's reliability as constraints, and models the minimum improvement effort based reliability growth allocation method. The result can be obtained effectively with lingo. A case example is presented to demonstrate the effectiveness of the proposed approach.
机译:在复杂系统的早期设计和开发阶段,可靠性分配是至关重要的一步。考虑到各种因素,大多数现有方法将可靠性分配给各个子系统,并且无法识别出故障率的非线性现象,从而无法获得改进的潜力。本文提出了一种基于最小改进工作量的可靠性分配方法,用于将系统级可靠性改进目标分配给子系统将遭受的环境压力。通过模糊分配和层次分析法,可以分别获得子系统的权重因子和应力。由于改进工作量与故障率成指数关系,因此对可靠性增长工作量函数进行了建模。结合权重因子和作用力函数,提出了目标函数,将系统损失降到最低。该方法以系统的可靠性为约束条件,并基于最小的改进努力对可靠性增长分配方法进行建模。使用行话可以有效地获得结果。给出了一个案例,以证明所提出方法的有效性。

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