Consider a system consisting of multiple sockets into each of which a component is inserted. If a component fails, it is replaced immediately and system operation resumes. Then the failure process of the system is the superposition of renewal processes (or superimposed renewal process, SRP). If the label of the components that cause the system to fail are unknown but the times between failures are known, we refer to such data as {\it masked failure data}. To estimate the SRP based on masked failure data is challenging. This paper obtains the lower and upper bounds of the rate of the SRP when only masked failure data are available. If repair (rather than replacement) is conducted on failed components, the failure process of the system is the superposition of generalized renewal processes (SGRPs). The paper then derives the lower and upper bounds of the rate of SGRPs and proposes to use a weighted linear combination of the bounds to approximate the SGRP. Discussions are provided for possible extensions of the bounds for systems with other structures such as parallel systems. An algorithm for simulating the SGRP is then proposed. Numerical examples are used to illustrate the proposed approximation method.
翻译:考虑一个由多个插座组成的系统, 在每个系统中插入一个组件。 如果部件失败, 立即替换它, 并恢复系统操作。 然后, 系统的失败过程是更新程序的叠加( 或超加更新程序, SRP) 。 如果导致系统失败的部件的标签未知, 但失败之间的时间不详, 我们称这些数据为 prit 掩码失败数据 。 要根据掩码失败数据来估计 SRP 具有挑战性。 本文只提供隐藏失败数据时, 获得 SRP 费率的下限和上限。 如果对失败的部件进行修理( 而不是替换), 系统的失败过程是通用更新程序的叠加( SGRPs ) 。 然后, 纸张提供SGRP 比率的下限和上限, 并提议使用这些界限的加权线性组合来接近 SGRP 。 本文提供了对系统与其他结构, 如平行系统, 的界限可能扩展的讨论。 然后提出模拟SGRP 的算法 。