System Dependability Evaluation Including S-dependency and Uncertainty Model-Driven Dependability Analyses /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Kochs, Hans-Dieter (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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003 DE-He213
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100 1 |a Kochs, Hans-Dieter.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a System Dependability Evaluation Including S-dependency and Uncertainty  |h [electronic resource] :  |b Model-Driven Dependability Analyses /  |c by Hans-Dieter Kochs. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XXXII, 374 p. 145 illus., 75 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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520 |a 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 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. 
650 0 |a Computational complexity. 
650 0 |a Electronic circuits. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 0 |a Probabilities. 
650 0 |a Computer software-Reusability. 
650 1 4 |a Complexity.  |0 http://scigraph.springernature.com/things/product-market-codes/T11022 
650 2 4 |a Circuits and Systems.  |0 http://scigraph.springernature.com/things/product-market-codes/T24068 
650 2 4 |a Quality Control, Reliability, Safety and Risk.  |0 http://scigraph.springernature.com/things/product-market-codes/T22032 
650 2 4 |a Probability Theory and Stochastic Processes.  |0 http://scigraph.springernature.com/things/product-market-codes/M27004 
650 2 4 |a Performance and Reliability.  |0 http://scigraph.springernature.com/things/product-market-codes/I12077 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319649900 
776 0 8 |i Printed edition:  |z 9783319649924 
776 0 8 |i Printed edition:  |z 9783319879208 
856 4 0 |u https://doi.org/10.1007/978-3-319-64991-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)