000 04468nam a22006015i 4500
001 978-981-13-0090-5
003 DE-He213
005 20220801215729.0
007 cr nn 008mamaa
008 180419s2018 si | s |||| 0|eng d
020 _a9789811300905
_9978-981-13-0090-5
024 7 _a10.1007/978-981-13-0090-5
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aVarde, Prabhakar V.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946127
245 1 0 _aRisk-Based Engineering
_h[electronic resource] :
_bAn Integrated Approach to Complex Systems—Special Reference to Nuclear Plants /
_cby Prabhakar V. Varde, Michael G. Pecht.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aXXII, 568 p. 141 illus., 59 illus. in color.
_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,
_x2196-999X
505 0 _aPreface -- Chapter 1: Introduction -- Chapter 2: Risk Characterization -- Chapter 3: Probabilistic Approach to Reliability Engineering -- Chapter 4: System Reliability Modelling -- Chapter 5: Life Prediction -- Chapter 6: Probabilistic Risk Assessment -- Chapter 7: Risk-based Design -- Chapter 8: Fatigue and Fracture Risk Assessment- A Probabilistic Framework -- Chapter 9: Uncertainty Modeling -- Chapter 10: Human Reliability Analysis -- Chapter 11: Digital system reliability -- Chapter 12: Physics of Failure -- Chapter 13: Prognostics and Health Management -- Chapter 14: Risk Informed Decisions -- Chapter 15: Risk-based / Risk-informed Applications -- Appendix: Statistical Tables.
520 _aThe book comprehensively covers the various aspects of risk modeling and analysis in technological contexts. It pursues a systems approach to modeling risk and reliability concerns in engineering, and covers the key concepts of risk analysis and mathematical tools used to assess and account for risk in engineering problems. The relevance of incorporating risk-based structures in design and operations is also stressed, with special emphasis on the human factor and behavioral risks. The book uses the nuclear plant, an extremely complex and high-precision engineering environment, as an example to develop the concepts discussed. The core mechanical, electronic and physical aspects of such a complex system offer an excellent platform for analyzing and creating risk-based models. The book also provides real-time case studies in a separate section to demonstrate the use of this approach. There are many limitations when it comes to applications of risk-based approaches to engineering problems. The book is structured and written in a way that addresses these key gap areas to help optimize the overall methodology. This book serves as a textbook for graduate and advanced undergraduate courses on risk and reliability in engineering. It can also be used outside the classroom for professional development courses aimed at practicing engineers or as an introduction to risk-based engineering for professionals, researchers, and students interested in the field.
650 0 _aSecurity systems.
_931879
650 0 _aMathematical models.
_94632
650 0 _aSystem theory.
_93409
650 0 _aNuclear engineering.
_933220
650 0 _aManufactures.
_931642
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
650 2 4 _aComplex Systems.
_918136
650 2 4 _aNuclear Energy.
_933221
650 2 4 _aMachines, Tools, Processes.
_931645
700 1 _aPecht, Michael G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946128
710 2 _aSpringerLink (Online service)
_946129
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811300882
776 0 8 _iPrinted edition:
_z9789811300899
776 0 8 _iPrinted edition:
_z9789811343278
830 0 _aSpringer Series in Reliability Engineering,
_x2196-999X
_946130
856 4 0 _uhttps://doi.org/10.1007/978-981-13-0090-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77804
_d77804