Reliability and Safety Engineering [recurso electrónico] / by Ajit Kumar Verma, Ajit Srividya, Durga Rao Karanki.

Por: Verma, Ajit Kumar [author.]Colaborador(es): Srividya, Ajit [author.] | Karanki, Durga Rao [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Series in Reliability Engineering ; 0Editor: London : Springer London, 2010Descripción: XX, 557 p. 243 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781849962322Tema(s): Engineering | System safety | Electric engineering | Nuclear engineering | Engineering | Quality Control, Reliability, Safety and Risk | Automotive Engineering | Energy Technology | Nuclear EngineeringFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.56 Clasificación LoC:TA169.7T55-T55.3TA403.6Recursos en línea: Libro electrónicoTexto
Contenidos:
Basic Reliability Mathematics -- System Reliability Modeling -- Electronic System Reliability -- Software Reliability -- Mechanical Reliability -- Structural Reliability -- Power System Reliability -- Probabilistic Safety Assessment -- Applications of Probabilistic Safety Assessment -- Uncertainty Management in Reliability/Safety Assessment.
En: Springer eBooksResumen: 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. They describe 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.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos TA169.7 (Browse shelf(Abre debajo)) 1 No para préstamo 372864-2001

Basic Reliability Mathematics -- System Reliability Modeling -- Electronic System Reliability -- Software Reliability -- Mechanical Reliability -- Structural Reliability -- Power System Reliability -- Probabilistic Safety Assessment -- Applications of Probabilistic Safety Assessment -- Uncertainty Management in Reliability/Safety Assessment.

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. They describe 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.

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