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Reliability Engineering and Risk Analysis

A Practical Guide, Third Edition
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Reliability Engineering and Risk Analysis offers a practical and comprehensive guide to reliability and risk analysis techniques, tailored for both engineering students and professionals. Covering multi-disciplinary topics, the new edition features updates on classical confidence interval estimation, Bayesian uncertainty analysis, physics-of-failure life estimation models, and optimal maintenance strategies. The book includes clear examples and end-of-chapter exercises to enhance understanding.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for undergraduate and graduate engineering students as well as practising engineers seeking a thorough understanding of reliability and risk analysis methods.

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This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practising engineers, the book is multi-disciplinary in scope.

The new edition has new topics in classical confidence interval estimation, Bayesian uncertainty analysis, and models for the physics-of-failure approach to life estimation. It also includes extended discussions on the generalised renewal process and optimal maintenance, along with further modifications, updates, and discussions.

The book includes examples to clarify technical subjects and many end-of-chapter exercises. PowerPoint slides and a Solutions Manual are also available for Reliability Engineering and Risk Analysis.

Book Details

INFORMATION

ISBN: 9781498745871

Publisher: Taylor & Francis Inc

Format: Hardback

Date Published: 01 December 2016

Country: United States

Imprint: CRC Press Inc

Edition: 3rd edition

Illustration: 85 Tables, black and white; 238 Illustrations, black and white

Audience: Tertiary education

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 1160g

Pages: 504

About the Author

Mohammad Modarres has a well-established and extensive history of academic research, teaching, and administrative services at the A.J. Clark School of Engineering, University of Maryland. Early in his career, he proposed and established the Reliability Engineering Graduate Program. Subsequently, this program grew and now is a leading academic curriculum in reliability engineering and risk analysis in the world. During his academic career, he has served in a number of leadership roles, including director of the Center for Risk and Reliability, director of Nuclear Engineering Program, and leader of the Division of Design and Reliability of Systems at the Department of Mechanical Engineering. He is an expert in probabilistic risk assessment and management, uncertainty analysis, probabilistic physics of failure, and degradation and damage modeling of systems, structures, and components. His research areas include fatigue- and corrosion- based degradation assessment of airframes, nuclear reactor vessels, support structures, and piping of advanced nuclear plants using probabilistic physics of failure, including characterization of all uncertainties. His interests in reliability, integrity, prognosis, and health management of structures include theoretical as well as experimental and model development for condition monitoring and assessment of remaining useful life. He is an expert in probabilistic model development and updating using Bayesian inference methods, data fusion, and sensor-based big data analyses.

Dr. Modarres is a University of Maryland Distinguished Scholar-Teacher, a fellow of the American Nuclear Society, and a recipient of multiple awards. He earned his engineer’s degree, MS, and PhD in nuclear engineering from MIT, and MS in mechanical engineering also from MIT. For detailed publications and information about his research activities, visit http://www.modarres.umd.edu/.

Mark P. Kaminskiy is currently a principal reliability engineer at the NASA Goddard Space Flight Center (via ARES Corporation). He has conducted numerous research and consulting projects funded by the government for the Department of Transportation, Coast Guards, Army Corps of Engineers, Navy, Nuclear Regulatory Commission, and American Society of Mechanical Engineers, and by corporations for Ford Motor, Qualcomm Inc., and some other engineering companies. He has taught several graduate courses on reliability engineering at the University of Maryland. Dr. Kaminskiy is the author and coauthor of more than 60 professional publications, including two books on reliability and risk analysis, and chapters in many books on statistical reliability and risk analysis. He earned his MS in nuclear physics from the Polytechnic University of St. Petersburg, Russia and PhD in electrical engineering from the Electrotechnical University of St. Petersburg, Russia.

Vasiliy Krivtsov is a practitioner and consultant in reliability engineering, risk analysis, and applied statistics, employed by Ford Motor Company as a senior staff technical specialist. He also holds the position of adjunct associate professor of reliability engineering at the University of Maryland, where he teaches a graduate course on reliability data analysis.

Dr. Krivtsov earned his PhD in electrical engineering from Kharkov Polytechnic Institute, Ukraine and PhD in reliability engineering from the University of Maryland, USA. He is the author and coauthor of more than 60 professional publications, including two books on reliability engineering and risk analysis, nine patented inventions, and six trade secret inventions on statistical algorithms for Ford. He is a member of the editorial board of Elsevier’s international journal Reliability Engineering & System Safety, vice chair of the International Reliability K26963_Book.indb 17 27-08-2016 12:57:19 xviii Authors Symposium (RAMS®) Tutorials Committee, and a senior member of IEEE. Prior to Ford, Dr. Krivtsov held the position of associate professor of electrical engineering, Kharkov Institute of Electric Power & Computer Technology, Ukraine, and that of graduate research assistant at the University of Maryland Center for Reliability Engineering. Further information on his professional activity is available at http://www.krivtsov.net/.

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