书目名称 | System Dependability Evaluation Including S-dependency and Uncertainty | 副标题 | Model-Driven Dependa | 编辑 | Hans-Dieter Kochs | 视频video | | 概述 | Provides the reader with best suited approaches for practical system dependability modeling.Presents a comprehensive analysis of aleatory uncertainty (due to randomness) and epistemic uncertainty (due | 图书封面 |  | 描述 | The book focuses on system dependability modeling and calculation, considering the impact of s-dependency and uncertainty. The best suited approaches for practical system dependability modeling and calculation, (1) the minimal cut approach, (2) the Markov process approach, and (3) the Markov minimal cut approach as a combination of (1) and (2) are described in detail and applied to several examples. The stringently used Boolean logic during the whole development process of the approaches is the key for the combination of the approaches on a common basis. For large and complex systems, efficient approximation approaches, e.g. the probable Markov path approach, have been developed, which can take into account s-dependencies be-tween components of complex system structures. A comprehensive analysis of aleatory uncertainty (due to randomness) and epistemic uncertainty (due to lack of knowledge), and their combination, developed on the basis of basic reliability indices and evaluated with the Monte Carlo simulation method, has been carried out. The uncertainty impact on system dependability is investigated and discussed using several examples with different levels of difficulty. The app | 出版日期 | Book 2018 | 关键词 | System dependability modeling; Reliability; Dependability; Dependability Block Diagram; Minimal Cut; Minm | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-64991-7 | isbn_softcover | 978-3-319-87920-8 | isbn_ebook | 978-3-319-64991-7 | copyright | Springer International Publishing AG 2018 |
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