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Gradual reliability analysis of mechanical component systems

机译:机械零件系统的逐步可靠性分析

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Components within a system may be related to one another in two primary ways: in either a serial or a parallel configuration. The other way associated system components is developed on the basis of series and parallel systems. Although some complex systems cannot generate from series and parallel system, the result of this paper is helpful to study more complex gradual system reliability problems. In this paper, a hypothesis is formed that the reliability of the components of the system is variable with time. Then, the reliability of the system is gradual, on condition that the components are combined by some related way. If the system reliability analysis is based on the static analysis, it may be different from the actual value of the reliability because the components of the system would afford stochastic load or generate degradation of performance. The method considering the random resistant degradation may make the result of reliability accurate. In this paper, gamma process is used to simulate the use of the components of the system, as deterioration is generally uncertain and non-decreasing, it can best be regarded as a gamma process. Combining the Edgeworth series method and forth moment technique, the method that calculate the reliability of series and parallel system is deduced. Then, the reliability of different systems and the failure rate of the systems are illustrated with time. The results show that the reliability of the systems will decline in different ways with time.
机译:系统中的组件可能以两种主要方式相互关联:以串行或并行配置。在串联和并联系统的基础上开发与系统组件相关的其他方式。尽管一些复杂的系统无法从串联和并联系统中生成,但本文的结果有助于研究更复杂的渐进式系统可靠性问题。在本文中,形成了一个假设,即系统组件的可靠性随时间变化。然后,在组件通过某种相关方式组合的情况下,系统的可靠性是逐步的。如果系统可靠性分析是基于静态分析的,则它可能与可靠性的实际值有所不同,因为系统的组件会提供随机负载或降低性能。考虑随机抗性退化的方法可以使可靠性结果准确。在本文中,伽马过程用于模拟系统组件的使用,因为劣化通常是不确定的且不减少的,因此最好将其视为伽马过程。结合Edgeworth级数法和第四矩技术,推导了计算串联和并联系统可靠性的方法。然后,随着时间的推移说明了不同系统的可靠性和系统的故障率。结果表明,系统的可靠性将随着时间的推移以不同的方式下降。

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