Practical Statistical Tools for the Reliability Engineer PDF Download
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Author: Anthony Coppola
Publisher:
ISBN: 9780971285323
Category : Reliability (Engineering)
Languages : en
Pages : 108
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Book Description
Author: Anthony Coppola
Publisher:
ISBN: 9780971285323
Category : Reliability (Engineering)
Languages : en
Pages : 108
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Book Description
Author: Daniel Schiff
Publisher: John Wiley & Sons
ISBN: 9780471547686
Category : Technology & Engineering
Languages : en
Pages : 330
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Book Description
PRACTICAL ENGINEERING STATISTICS This lucidly written book offers engineers and advanced studentsall the essential statistical methods and techniques used inday-to-day engineering work. Without unnecessary digressions intoformal proofs or derivations, Practical Engineering Statisticsshows how to select the appropriate statistical method for aspecific task and then how to apply it correctly and confidently.Clear explanations supported by real-world examples lead the readerstep-by-step through each procedure. Topics covered include productdesign and development; estimations of the mean value andvariability of measured data; comparison of processes or products;the relationships between variables; and more. With its emphasis on practical use and its full range ofengineering applications, Practical Engineering Statistics servesas an indispensable, time-saving reference for all engineersworking in design, reliability, assurance, scheduling, andmanufacturing. PRACTICAL ENGINEERING STATISTICS While engineers are frequently involved in projects that requirethe application of statistical methods to analysis, prediction, andplanning, their background in statistics is often insufficient tothe task. In many cases the engineer has had little training instatistics beyond the concepts of the mean, the standard deviation,the median, and the quartile. Even those who have had one or morecourses in statistics will, at times, encounter problems which arebeyond their capacity to solve or understand. Practical Engineering Statistics is designed to give engineers theknowledge to select the statistical approach that is mostappropriate to the problem at hand and the skills to confidentlyapply this approach to specific cases. It provides the engineerwith the statistical tools needed to perform the job effectively,whether it is pro-duct design and development, estimation of themean value and variability of measured data, comparison ofprocesses or products, or the relationship between variables. Its authors bring two different areas of expertise to this uniquebook: statistics and engineering physics. In Practical EngineeringStatistics their collaboration has produced a book that clearlyleads engineers step-by-step through each procedure, withouttime-consuming and unnecessary discussions of proofs andderivations. Statistical procedures are discussed and explained indetail and demonstrated through real-world sample problems, withcorrect answers always provided. Readers learn how to determinewhich data represent true observations and which, through humanerror or flawed data, are false observations. Complex problems are presented with computer printouts of thedatabase, intermediate steps, and results. Numerous illustrationsand tables of all commonly used distributions enhance theusefulness of this invaluable book. Virtually all engineers and advanced students, especially those inmechanical, civil, electrical, aerospace, and chemical engineering,Practical Engineering Statistics is an indispensable reference thatwill give them the tools to do the statistical part of their workquickly and accurately.
Author: Kieron A. Dey
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 222
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Book Description
This text introduces a variety of standard statistical methods applicable to reliability data analysis. It is aimed at the non-specialist or manager and as such is primarily an applications guide. Methods addressed include analysis of variance, confidence interval estimation, goodness-of-fit tests, Weibull plotting, sampling inspection and regression and covariance analysis. Examples cover use of both parametric and nonparametric methods. (Author).
Author: Patrick O'Connor
Publisher: John Wiley & Sons
ISBN: 047097981X
Category : Technology & Engineering
Languages : en
Pages : 518
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Book Description
With emphasis on practical aspects of engineering, this bestseller has gained worldwide recognition through progressive editions as the essential reliability textbook. This fifth edition retains the unique balanced mixture of reliability theory and applications, thoroughly updated with the latest industry best practices. Practical Reliability Engineering fulfils the requirements of the Certified Reliability Engineer curriculum of the American Society for Quality (ASQ). Each chapter is supported by practice questions, and a solutions manual is available to course tutors via the companion website. Enhanced coverage of mathematics of reliability, physics of failure, graphical and software methods of failure data analysis, reliability prediction and modelling, design for reliability and safety as well as management and economics of reliability programmes ensures continued relevance to all quality assurance and reliability courses. Notable additions include: New chapters on applications of Monte Carlo simulation methods and reliability demonstration methods. Software applications of statistical methods, including probability plotting and a wider use of common software tools. More detailed descriptions of reliability prediction methods. Comprehensive treatment of accelerated test data analysis and warranty data analysis. Revised and expanded end-of-chapter tutorial sections to advance students’ practical knowledge. The fifth edition will appeal to a wide range of readers from college students to seasoned engineering professionals involved in the design, development, manufacture and maintenance of reliable engineering products and systems. www.wiley.com/go/oconnor_reliability5
Author: David Nicholls
Publisher: RIAC
ISBN: 1933904003
Category : Reliability (Engineering)
Languages : en
Pages : 872
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Book Description
Author: Mark Allen Durivage
Publisher: Quality Press
ISBN: 1636940161
Category : Mathematics
Languages : en
Pages : 313
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Book Description
This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader—with a continued focus on algebra-based math. Those preparing for ASQ certification examinations, such as the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), Certified Reliability Engineer (CRE), and Certified Supplier Quality Professional (CSQP), will find this book helpful as well. Inside you’ll find: • Complete calculations for determining confidence intervals, tolerances, sample size, outliers, process capability, and system reliability • Newly added equations for hypothesis tests (such as the Kruskal-Wallis test and Levene’s test for equality of variances), the Taguchi method, and Weibull and log-normal distributions • Hundreds of completed examples to demonstrate practical use of each equation • 20+ appendices, including distribution tables, critical values tables, control charts, sampling plans, and a beta table
Author: Anthony Coppola
Publisher:
ISBN:
Category : Reliability (Engineering)
Languages : en
Pages : 128
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Book Description
Author: Darcy Brooker
Publisher: Artech House
ISBN: 1630818283
Category : Technology & Engineering
Languages : en
Pages : 203
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Book Description
This practical resource presents basic probabilistic and statistical methods or tools used to extract the information from reliability data to make sound decisions. It consolidates and condenses the reliability data analysis methods most often used in everyday practice into an easy-to-follow guide, while also providing a solid foundation from which to explore more complex methods if desired. The book provides mathematical and Excel spreadsheet formulas to estimate parameters and confidence bounds (uncertainty) for the most common probability distributions used in reliability analysis. Several other Excel tools are provided to aid users without access to expensive, dedicated, commercial tools. This book and tools were developed by the authors after many years of teaching the fundamentals of reliability data analysis to a broad range of technical and non-technical military and civilian personnel, making it useful for both novice and experienced engineers.
Author: Patrick O'Connor
Publisher: Wiley
ISBN: 9780471973454
Category : Technology & Engineering
Languages : en
Pages : 72
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Book Description
This classic textbook/reference contains a complete integration of the processes which influence quality and reliability in product specification, design, test, manufacture and support. Provides a step-by-step explanation of proven techniques for the development and production of reliable engineering equipment as well as details of the highly regarded work of Taguchi and Shainin. New to this edition: over 75 pages of self-assessment questions plus a revised bibliography and references. The book fulfills the requirements of the qualifying examinations in reliability engineering of the Institute of Quality Assurance, UK and the American Society of Quality Control.
Author: Jake Ansell
Publisher: Oxford University Press
ISBN: 9780198536642
Category : Mathematics
Languages : en
Pages : 264
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Book Description
This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis.
