000 04040nam a22006375i 4500
001 978-1-4471-6269-8
003 DE-He213
005 20200421112048.0
007 cr nn 008mamaa
008 150928s2016 xxk| s |||| 0|eng d
020 _a9781447162698
_9978-1-4471-6269-8
024 7 _a10.1007/978-1-4471-6269-8
_2doi
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 _aVerma, Ajit Kumar.
_eauthor.
245 1 0 _aReliability and Safety Engineering
_h[electronic resource] /
_cby Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki.
250 _a2nd ed. 2016.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2016.
300 _aXX, 571 p. 249 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 _aIntroduction -- Basic Reliability Mathematics -- System Reliability Modeling -- Reliability of Complex Systems -- Electronic System Reliability -- Software Reliability -- Mechanical Reliability -- Structural Reliability.- Maintenance of Large Engineering Systems -- Probabilistic Safety Assessment -- Dynamic Probabilistic Safety Assessment -- Applications of PSA.- Uncertainty Analysis in Reliability/Safety Assessment -- Advanced Methods in Uncertainty Management.
520 _aReliability and safety are core issues that must be addressed throughout the life cycle of engineering systems. Reliability and Safety Engineering presents an overview of the basic concepts, together with simple and practical illustrations. The authors present reliability terminology in various engineering fields, viz.,electronics engineering, software engineering, mechanical engineering, structural engineering and power systems engineering. The book describes the latest applications in the area of probabilistic safety assessment, such as technical specification optimization, risk monitoring and risk informed in-service inspection. Reliability and safety studies must, inevitably, deal with uncertainty, so the book includes uncertainty propagation methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer theory and probability bounds. Reliability and Safety Engineering also highlights advances in system reliability and safety assessment including dynamic system modeling and uncertainty management. Case studies from typical nuclear power plants, as well as from structural, software, and electronic systems are also discussed. Reliability and Safety Engineering combines discussions of the existing literature on basic concepts and applications with state-of-the-art methods used in reliability and risk assessment of engineering systems. It is designed to assist practicing engineers, students and researchers in the areas of reliability engineering and risk analysis.
650 0 _aEngineering.
650 0 _aEnergy policy.
650 0 _aEnergy and state.
650 0 _aElectric power production.
650 0 _aAutomotive engineering.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 0 _aNuclear engineering.
650 1 4 _aEngineering.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
650 2 4 _aAutomotive Engineering.
650 2 4 _aEnergy Technology.
650 2 4 _aNuclear Engineering.
650 2 4 _aEnergy Policy, Economics and Management.
700 1 _aAjit, Srividya.
_eauthor.
700 1 _aKaranki, Durga Rao.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447162681
830 0 _aSpringer Series in Reliability Engineering,
_x1614-7839
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6269-8
912 _aZDB-2-ENG
942 _cEBK
999 _c57020
_d57020