Reliability Engineering and Risk Analysis - A Practical Guide, Third Edition

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. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; extended discussions on the generalized renewal process and optimal maintenance; and 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.

List of contents

Reliability Engineering in Perspective. Basic Reliability Mathematics: Review of Probability and Statistics.Component Analysis. System Reliability Analysis. Reliability and Availability of Repairable Components and Systems. Selected Topics in Reliability Modeling. Selected Topics in Reliability Data Analysis. Risk Analysis

Report

"This book is comprehensive in coverage and insightful in presentation. It would be very useful to practitioners (for both training and reference purposes) because of the inclusion of realistic examples and case studies. The treatment of data analysis techniques is at the right level - not too mathematical for non-theoreticians yet not without the necessary rigor."
-T.N. Goh, National University of Singapore

Product details

• Authors: Mark P. Kaminskiy, Mark P. (NASA Goddard Space Flight Center Kaminskiy, Kaminskiy Mark P., Krivtsov, Vasiliy Krivtsov, Vasiliy (Ford Motor Company Krivtsov, Krivtsov Vasiliy, Mohammad Modarres, Mohammad (University of Maryland Modarres, Mohammad Kaminskiy Modarres, Modarres Mohammad
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 19.12.2016
• EAN: 9781498745871
• ISBN: 978-1-4987-4587-1
• No. of pages: 504
• Dimensions: 185 mm x 260 mm x 35 mm
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, BUSINESS & ECONOMICS / Production & Operations Management, BUSINESS & ECONOMICS / Quality Control, Probability & statistics, Reliability engineering, Production & quality control management, Probability and statistics, Production and quality control management