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Reliability and safety engineering

Verma, Ajit Kumar.

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Reliability and safety engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability and safety engineering/ by Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki.
作者:	Verma, Ajit Kumar.
其他作者:	Ajit, Srividya.
出版者:	London :Springer London : : 2016.,
面頁冊數:	xx, 571 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Reliability (Engineering) -
電子資源:	http://dx.doi.org/10.1007/978-1-4471-6269-8
ISBN:	9781447162698$q(electronic bk.)

Reliability and safety engineering
Verma, Ajit Kumar.

Reliability and safety engineering[electronic resource] /by Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki. - 2nd ed. - London :Springer London :2016. - xx, 571 p. :ill., digital ;24 cm. - Springer series in reliability engineering,1614-7839. - Springer series in reliability engineering..

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.

ISBN: 9781447162698$q(electronic bk.)

Standard No.: 10.1007/978-1-4471-6269-8doiSubjects--Topical Terms:

647853
Reliability (Engineering)

LC Class. No.: TA169 / .V47 2016

Dewey Class. No.: 620.00452

Reliability and safety engineering
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520 $a 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.
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