000			03434nam a22005535i 4500
001			978-3-319-20946-3
003			DE-He213
005			20180206182935.0
007			cr nn 008mamaa
008			151127s2016 gw | s |||| 0|eng d
020			_a9783319209463 _9978-3-319-20946-3
050		4	_aTA169.7
050		4	_aT55-T55.3
050		4	_aTA403.6
072		7	_aTGPR _2bicssc
072		7	_aTEC032000 _2bisacsh
082	0	4	_a658.56 _223
100	1		_aSánchez-Silva, Mauricio. _eauthor.
245	1	0	_aReliability and Life-Cycle Analysis of Deteriorating Systems _h[recurso electrónico] / _cby Mauricio Sánchez-Silva, Georgia-Ann Klutke.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXXIV, 355 p. 106 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_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			_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.
650		0	_aEngineering.
650		0	_aProbabilities.
650		0	_aQuality control.
650		0	_aReliability.
650		0	_aIndustrial safety.
650		0	_aCivil engineering.
650	1	4	_aEngineering.
650	2	4	_aQuality Control, Reliability, Safety and Risk.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aCivil Engineering.
700	1		_aKlutke, Georgia-Ann. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319209456
830		0	_aSpringer Series in Reliability Engineering, _x1614-7839
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-20946-3
912			_aZDB-2-ENG
942			_cLIBRO_ELEC
999			_c225504 _d225504