000 | 04034nam a22006015i 4500 | ||
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001 | 978-3-319-64991-7 | ||
003 | DE-He213 | ||
005 | 20210201191432.0 | ||
007 | cr nn 008mamaa | ||
008 | 171115s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319649917 _9978-3-319-64991-7 |
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050 | 4 | _aQA267.7 | |
072 | 7 |
_aGPFC _2bicssc |
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072 | 7 |
_aTEC009000 _2bisacsh |
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072 | 7 |
_aGPFC _2thema |
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082 | 0 | 4 |
_a620 _223 |
100 | 1 |
_aKochs, Hans-Dieter. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aSystem Dependability Evaluation Including S-dependency and Uncertainty _h[electronic resource] : _bModel-Driven Dependability Analyses / _cby Hans-Dieter Kochs. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXXXII, 374 p. 145 illus., 75 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
500 | _aAcceso multiusuario | ||
520 | _aThe 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. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aComputational complexity. | |
650 | 0 | _aElectronic circuits. | |
650 | 0 | _aQuality control. | |
650 | 0 | _aReliability. | |
650 | 0 | _aIndustrial safety. | |
650 | 0 | _aProbabilities. | |
650 | 0 | _aComputer software-Reusability. | |
650 | 1 | 4 |
_aComplexity. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11022 |
650 | 2 | 4 |
_aCircuits and Systems. _0https://scigraph.springernature.com/ontologies/product-market-codes/T24068 |
650 | 2 | 4 |
_aQuality Control, Reliability, Safety and Risk. _0https://scigraph.springernature.com/ontologies/product-market-codes/T22032 |
650 | 2 | 4 |
_aProbability Theory and Stochastic Processes. _0https://scigraph.springernature.com/ontologies/product-market-codes/M27004 |
650 | 2 | 4 |
_aPerformance and Reliability. _0https://scigraph.springernature.com/ontologies/product-market-codes/I12077 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319649900 |
776 | 0 | 8 |
_iPrinted edition: _z9783319649924 |
776 | 0 | 8 |
_iPrinted edition: _z9783319879208 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-64991-7 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c243462 _d243461 |