05125nam 22008535 450 991025424020332120200701160104.01-4471-6269-210.1007/978-1-4471-6269-8(CKB)3710000000483755(EBL)4177984(SSID)ssj0001584742(PQKBManifestationID)16265743(PQKBTitleCode)TC0001584742(PQKBWorkID)14864023(PQKB)10970112(DE-He213)978-1-4471-6269-8(MiAaPQ)EBC4177984(PPN)19053334X(EXLCZ)99371000000048375520150928d2016 u| 0engur|n|---|||||txtccrReliability and Safety Engineering[electronic resource] /by Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki2nd ed. 2016.London :Springer London :Imprint: Springer,2016.1 online resource (583 p.)Springer Series in Reliability Engineering,1614-7839Description based upon print version of record.1-4471-6268-4 Includes bibliographical references and index.Introduction -- 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.Reliability 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.Springer Series in Reliability Engineering,1614-7839Quality controlReliabilityIndustrial safetyAutomotive engineeringEnergy systemsNuclear energyEnergy policyEnergy and stateQuality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Automotive Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T17047Energy Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/115000Nuclear Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/113000Energy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Quality control.Reliability.Industrial safety.Automotive engineering.Energy systems.Nuclear energy.Energy policy.Energy and state.Quality Control, Reliability, Safety and Risk.Automotive Engineering.Energy Systems.Nuclear Energy.Energy Policy, Economics and Management.620Verma Ajit Kumarauthttp://id.loc.gov/vocabulary/relators/aut1062272Ajit Srividyaauthttp://id.loc.gov/vocabulary/relators/autKaranki Durga Raoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254240203321Reliability and Safety Engineering2524391UNINA