Overview
- Provides comprehensive principles and statistical methods for reliability analysis and risk prediction
- Suitable for quick learning or as a reference book
- Presents numerous case studies from the development, production, and usage phase
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About this book
This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are applied in the elementary phases of the product emergence process (concept and series development, production) as well as during the field use of technical products. This book contains a detailed outline of the basics of statistics, graphical visualisation and calculation methods. Numerous case studies are discussed, representing typical tasks of the engineer in reliability analysis during development/production as well as during the assessment of field damages. The target groups are thus both engineering students and practitioning engineers who deal with technical reliability in the context of the development and manufacturing of complex technical products as well as field data analyses. The presentation of the methods and procedures of Reliability Engineering follows theguideline "theory-guided - practice-oriented", so that this book can be used both as a reference work and as a textbook.
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Table of contents (16 chapters)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Reliability Engineering
Book Subtitle: Data analytics, modeling, risk prediction
Authors: Stefan Bracke
DOI: https://doi.org/10.1007/978-3-662-67446-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2024
Hardcover ISBN: 978-3-662-67445-1Published: 06 January 2024
Softcover ISBN: 978-3-662-67448-2Due: 19 January 2025
eBook ISBN: 978-3-662-67446-8Published: 05 January 2024
Edition Number: 1
Number of Pages: XV, 506
Number of Illustrations: 109 b/w illustrations, 83 illustrations in colour
Topics: Quality Control, Reliability, Safety and Risk, Operations Research/Decision Theory, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical and Computational Engineering