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Reliability Modelling

A Statistical Approach
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 Modelling by Linda C. Wolstenholme offers a comprehensive introduction to reliability as a probability concept fundamental to engineering, computing, and mathematics. Starting from the ground up, the book covers probability basics and common lifetime models such as exponential, Weibull, normal, lognormal, and gamma distributions. It guides readers through fitting these models to real data, including dealing with censored data and lifetime estimation in distribution tails. The text progresses to explore analysis of repairable versus non-repairable systems, multi-component system reliability, maintenance impacts, and life test data analysis. It concludes with advanced modelling snapshots and case studies demonstrating applied concepts.
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Format: Hardback
$44700
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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?

This book is ideal for students and professionals in engineering and technology fields seeking a statistical approach to reliability modelling. It is suitable for readers without prior knowledge of reliability theory, providing foundational concepts alongside advanced techniques and practical software application.

Book Hero thinking about your next read

Reliability is a concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. This book uses the statistical approach to reliability modelling along with the Minitab software package to cover modelling, from the basics through advanced modelling techniques.

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

Reliability Modelling is an essential concept in mathematics, computing, research, and all disciplines of engineering. Reliability, as a characteristic, is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.

The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory. She defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal, and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.

The focus then shifts to topics somewhat more difficult:

  • The difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly "renews" the system.
  • Methods for dealing with systems with reliability characteristics specified for more than one component or subsystem.
  • The effect of different types of maintenance strategies.
  • The analysis of life test data.

The final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Book Details

INFORMATION

ISBN: 9781138469143

Publisher: Taylor & Francis Ltd

Format: Hardback

Date Published: 18 December 2017

Country: United Kingdom

Imprint: Routledge

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 660g

Pages: 272

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