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A Fuzzy Reliability Model of Blades to Avoid Resonance and Its Convergence Analysis

机译:叶片避免共振的模糊可靠性模型及其收敛性分析

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The inherent frequencies of blades, especially with friction structure of shroud, are related to many uncertain factors, which include not only random factors but also fuzzy or other uncertain factors. In this paper, the fuzzy reliability model of blades to avoid resonance is investigated. By regarding the inherent frequency as a fuzzy random variable with trapezoidal or flat-normal membership function, a fuzzy reliability model of blades to avoid resonance is proposed based on the fuzzy cut-set theory, and the corresponding numerical solution is given. Further, a theorem is proposed and proved to indicate the deficiency of the previous cut-set distributions on convergence, and, then, a new cut-set distribution is given to cover this shortage and ensure that the model is of good convergence. Finally, the proposed model is applied to evaluate the reliability of one certain blade. Some simulations are carried out to compare the new cut-set distribution with the previous ones and study the influence of fuzzy degree on the reliability.
机译:叶片的固有频率,特别是带罩的摩擦结构,与许多不确定因素有关,不仅包括随机因素,还包括模糊或其他不确定因素。本文研究了避免共振的叶片模糊可靠性模型。通过将固有频率作为具有梯形或平坦法线隶属函数的模糊随机变量,基于模糊割集理论,提出了一种避免共振的叶片模糊可靠性模型,并给出了相应的数值解。此外,提出了一个定理并证明了先前的割集分布在收敛性方面的不足,然后给出了新的割集分布来弥补这一不足并确保模型具有良好的收敛性。最后,将提出的模型应用于评估某一叶片的可靠性。进行了一些仿真,以将新的割集分布与以前的割集分布进行比较,并研究模糊度对可靠性的影响。

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