Reliability and Safety Engineering - Ajit, Srividya
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Présentation Reliability And Safety Engineering Format Relié
- Livre Technologie
Résumé :
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 theexisting 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.
Sommaire:
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.
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