System Dependability Evaluation Including S-dependency and Uncertainty: Model-Driven Dependability AnalysesКНИГИ » ЕСТЕСТВЕННЫЕ НАУКИ
Автор: Hans-Dieter Kochs Название: System Dependability Evaluation Including S-dependency and Uncertainty: Model-Driven Dependability Analyses Издательство: Springer Год: 2017 ISBN: 9783319649900 Язык: English Формат: pdf Размер: 10,4 mb Страниц: 374
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 applications cover a wide variety of large and complex (real-world) systems. Actual state-of-the-art definitions of terms of the IEC 60050-192:2015 standard, as well as the dependability indices, are used uniformly in all six chapters of the book.
Introduction to Statistical Relational Learning Название: Introduction to Statistical Relational Learning Автор: Lise Getoor and Ben Taskar Издательство: The MIT Press Год: 2007 Формат: PDF Размер:...
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System Dependability Evaluation Including S-dependency and Uncertainty: Model-Driven Dependability Analyses 
