大葉大學圖書館 |

Reliability and life-cycle analysis of deteriorating systems[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	620.00452
書名/作者:	Reliability and life-cycle analysis of deteriorating systems/ by Mauricio Sanchez-Silva, Georgia-Ann Klutke.
作者:	Sanchez-Silva, Mauricio.
其他作者:	Klutke, Georgia-Ann.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxiv, 355 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Reliability (Engineering) - Mathematical models.
標題:	Product life cycle.
標題:	Engineering.
標題:	Quality Control, Reliability, Safety and Risk.
標題:	Probability Theory and Stochastic Processes.
標題:	Civil Engineering.
ISBN:	9783319209463
ISBN:	9783319209456
內容註:	Engineering 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.
摘要、提要註:	This 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20946-3

Reliability and life-cycle analysis of deteriorating systems[electronic resource] /
Sanchez-Silva, Mauricio.

Reliability and life-cycle analysis of deteriorating systems[electronic resource] /by Mauricio Sanchez-Silva, Georgia-Ann Klutke. - Cham :Springer International Publishing :2016. - xxiv, 355 p. :ill., digital ;24 cm. - Springer series in reliability engineering,1614-7839. - Springer series in reliability engineering..

Engineering 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.

This 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.

ISBN: 9783319209463

Standard No.: 10.1007/978-3-319-20946-3doiSubjects--Topical Terms:

486791
Reliability (Engineering)
--Mathematical models.

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Reliability and life-cycle analysis of deteriorating systems[electronic resource] /
LDR:02528nam a2200325 a 4500 001 454882
003 DE-He213
005 20160720153537.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319209463 $q (electronic bk.)
020 $a 9783319209456 $q (paper)
024 7 $a 10.1007/978-3-319-20946-3 $2 doi
035 $a 978-3-319-20946-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
082 0 4 $a 620.00452 $2 23
090 $a TA169 $b .S211 2016
100 1 $a Sanchez-Silva, Mauricio. $3 652775
245 1 0 $a Reliability and life-cycle analysis of deteriorating systems $h [electronic resource] / $c by Mauricio Sanchez-Silva, Georgia-Ann Klutke.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxiv, 355 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in reliability engineering, $x 1614-7839
505 0 $a Engineering 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 $a This 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 $a Reliability (Engineering) $x Mathematical models. $3 486791
650 0 $a Product life cycle. $3 405005
650 1 4 $a Engineering. $3 372756
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 463854
650 2 4 $a Probability Theory and Stochastic Processes. $3 463894
650 2 4 $a Civil Engineering. $3 464583
700 1 $a Klutke, Georgia-Ann. $3 652776
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer series in reliability engineering. $3 463893
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20946-3
950 $a Engineering (Springer-11647)