Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability
复制标题
可靠性数学建模的进展
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
G. Hardman
中科院分区：
文献类型：
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作者：
T. Bedford;J. Quigley;L. Walls;B. Alkali;A. Daneshkhah;G. Hardman
可靠性数学建模的进展讨论了可靠性理论及其应用中数学建模的基本问题。从图形建模和贝叶斯网络的广泛讨论开始，重点转向可修复系统：讨论如何敏感的可用性计算参数的选择，和仿真器提供了在复杂系统上以相当程度的准确性和计算效率的方式执行此类计算的潜力。数据被审查的方式混合故障率建模也是一个讨论点，以及系统的签名，其中通过签名从组件寿命的概率分布中区分系统的属性。讨论的最后三个主题是老化和随机依赖之间的关系，在建模，推理和计算的理论进展，以及最近的进展，在经常性事件建模和推理。
Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter choices, and emulators provide the potential to perform such calculations on complicated systems to a fair degree of accuracy and in a computationally efficient manner.Another issue that is addressed is how competing risks arise in reliability and maintenance analysis through the ways in which data is censored. Mixture failure rate modeling is also a point of discussion, as well as the signature of systems, where the properties of the system through the signature from the probability distributions on the lifetime of the components are distinguished. The last three topics of discussion are relations among aging and stochastic dependence, theoretical advances in modeling, inference and computation, and recent advances in recurrent event modeling and inference.