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| 008 | 151127s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319209463 | ||
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_aTA169 _b.S263 2016 |
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| 082 | 0 | 4 | _a658.56 |
| 100 | 1 |
_aSánchez-Silva, Mauricio. _997115 _0Local |
|
| 245 | 1 | 0 |
_aReliability and Life-Cycle Analysis of Deteriorating Systems _cby Mauricio Sánchez-Silva, Georgia-Ann Klutke |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XXIV, 355 páginas) _b106 ilustraciones |
||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aSpringer Series in Reliability Engineering _x1614-7839 |
|
| 505 | 0 | _aEngineering decisions for long term performance of systems -- Reliability of engineered systems -- Basics of stochastic processes, point and marked point processes -- Degradation: data analysis and analytical modeling -- Continuous state degradation models -- Discrete state degradation models -- A generalized approach to degradation -- Systematically reconstructed systems. | |
| 520 | 3 | _aThis book compiles and critically discusses modern engineering system degradation models and their impact on engineering decisions. In particular, the authors focus on modeling the uncertain nature of degradation considering both conceptual discussions and formal mathematical formulations. It also describes the basics concepts and the various modeling aspects of life-cycle analysis (LCA). �It highlights the role of degradation in LCA and defines optimum design and operation parameters. Given the relationship between operational decisions and the performance of the system�s condition over time, maintenance models are also discussed. The concepts and models presented have applications in a large variety of engineering fields such as Civil, Environmental, Industrial, Electrical and Mechanical engineering. However, special emphasis is given to problems related to large infrastructure systems. The book is intended to be used both as a reference resource for researchers and practitioners and as an academic text for courses related to risk and reliability, infrastructure performance modeling and life-cycle assessment. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 650 | 7 |
_aProbabilidades _2embne _9405075 |
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| 650 | 7 |
_aControl de calidad _2embne _9139887 |
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| 700 | 1 |
_aKlutke, Georgia-Ann _0Local _997116 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-20946-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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