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Dependability Modelling under Uncertainty An Imprecise Probabilistic Approach /
Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phas...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
148 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-69287-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220113023901.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 gw | s |||| 0|eng d | ||
| 020 | |a 9783540692874 |9 978-3-540-69287-4 | ||
| 024 | 7 | |a 10.1007/978-3-540-69287-4 |2 doi | |
| 050 | 4 | |a QA75.5-76.95 | |
| 072 | 7 | |a UYA |2 bicssc | |
| 072 | 7 | |a COM014000 |2 bisacsh | |
| 072 | 7 | |a UYA |2 thema | |
| 082 | 0 | 4 | |a 004.0151 |2 23 |
| 100 | 1 | |a Limbourg, Philipp. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Dependability Modelling under Uncertainty |h [electronic resource] : |b An Imprecise Probabilistic Approach / |c by Philipp Limbourg. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a XVI, 140 p. 68 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 148 | |
| 505 | 0 | |a Dependability Prediction in Early Design Stages -- Representation and Propagation of Uncertainty Using the Dempster-Shafer Theory of Evidence -- Predicting Dependability Characteristics by Similarity Estimates - A Regression Approach -- Design Space Specification of Dependability Optimization Problems Using Feature Models -- Evolutionary Multi-objective Optimization of Imprecise Probabilistic Models -- Case Study -- Summary, Conclusions and Outlook. | |
| 520 | |a Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary. This work introduces new uncertainty-preserving dependability methods for early design stages. These include the propagation of uncertainty through dependability models, the activation of data from similar components for analyses and the integration of uncertain dependability predictions into an optimization framework. It is shown that Dempster-Shafer theory can be an alternative to probability theory in early design stage dependability predictions. Expert estimates can be represented, input uncertainty is propagated through the system and prediction uncertainty can be measured and interpreted. The resulting coherent methodology can be applied to represent the uncertainty in dependability models. | ||
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Theory of Computation. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642088803 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540865193 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540692867 |
| 830 | 0 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 148 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-69287-4 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||