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Author : Anthony Coppola
Publisher : Unknown
Page : 108 pages
File Size : 45,8 Mb
Release : 1999
Category : Reliability (Engineering)
ISBN : 0971285322
Author : Patrick O'Connor,Andre Kleyner
Publisher : John Wiley & Sons
Page : 518 pages
File Size : 48,9 Mb
Release : 2012-01-30
Category : Technology & Engineering
ISBN : 9780470979815
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
Page : 872 pages
File Size : 49,5 Mb
Release : 2005
Category : Reliability (Engineering)
ISBN : 9781933904009
Author : Daniel Schiff,Ralph B. D'Agostino
Publisher : John Wiley & Sons
Page : 330 pages
File Size : 51,7 Mb
Release : 1995-12-12
Category : Technology & Engineering
ISBN : 0471547689
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 : Darcy Brooker
Publisher : Artech House
Page : 203 pages
File Size : 46,5 Mb
Release : 2020-11-30
Category : Technology & Engineering
ISBN : 9781630818289
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,David Newton,Richard Bromley
Publisher : John Wiley & Sons
Page : 539 pages
File Size : 48,8 Mb
Release : 2002-07-02
Category : Technology & Engineering
ISBN : 9780470844632
This update of a classic text explains new and proven methods for the development and production of reliable equipment in engineering. It covers the latest technological advances, methodology and international standards.
Author : Anthony Coppola
Publisher : Unknown
Page : 128 pages
File Size : 49,7 Mb
Release : 2005
Category : Reliability (Engineering)
ISBN : PSU:000065779545
Author : Mark Allen Durivage
Publisher : Quality Press
Page : 313 pages
File Size : 48,9 Mb
Release : 2022-03-31
Category : Mathematics
ISBN : 9781636940168
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 : Jake Ansell,M. J. Phillips
Publisher : Oxford University Press
Page : 264 pages
File Size : 49,9 Mb
Release : 1994
Category : Mathematics
ISBN : 019853664X
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.
Author : Boris Gnedenko,Igor V. Pavlov,Igor A. Ushakov
Publisher : John Wiley & Sons
Page : 524 pages
File Size : 55,6 Mb
Release : 1999-05-03
Category : Technology & Engineering
ISBN : 0471123560
Die Zuverlassigkeitsanalyse soll absichern, da? alle Komponenten eines Systems oder Produkts die Anforderungen an Funktionstuchtigkeit, -umfang und Budget erfullen. Alle wichtigen mathematischen Methoden, die in diesem Zusammenhang verwendet werden, stellt in diesem Buch einer der fuhrenden Spezialisten dieses Gebietes vor. Mit vielen realitatsnahen Beispielen und Fallstudien. (05/99)
Author : Patrick O'Connor,David Newton,Richard Bromley
Publisher : Unknown
Page : 464 pages
File Size : 44,7 Mb
Release : 1996-03-19
Category : Technology & Engineering
ISBN : UOM:39015037283945
Student Edition Practical Reliability Engineering Third Edition Revised Patrick D. T. O’Connor British Aerospace plc, UK with David Newton DN Consultancy, UK Richard Bromley RGB Services Ltd, UK Now fully revised with self-assessment questions for students, this classic text explains the proven methods for the development and production of reliable equipment in engineering. Students, engineers and managers will find this practical guide a vital reference source. Building on the successful previous editions, the revised edition includes material on process improvement methods, process control techniques and the reliability of mechanical components. The use of statistical experimentation for preventing, not just solving, problems is explored and the highly influential work of Taguchi and Shainin is described. Practical Reliability Engineering fulfils the requirements of the qualifying examinations in reliability engineering of the Institute of Quality Assurance (UK) and the American Society of Quality Control (USA). With the addition of end-of-chapter questions this is the indispensable text for students undertaking courses in quality assurance or reliability. Design and quality control engineers working on projects in the mechanical, electrical, or electronic industries will find it invaluable, as will engineers and managers involved in systems engineering and workers in industrial and government agencies.
Author : Alessandro Birolini
Publisher : Springer Science & Business Media
Page : 588 pages
File Size : 47,7 Mb
Release : 2007-02-15
Category : Technology & Engineering
ISBN : 9783540493884
This book presents the state-of-the-art of reliability engineering, both in theory and practice. It provides design guidelines for reliability, maintainability, and software quality. This is a textbook establishing a link between theory and practice, with a large number of tables, figures, and examples to support the practical aspects. This allows rapid access to practical results. The book is based on over 30 years of industrial and academic experience.
Author : K. MURALIDHARAN,A. SYAMSUNDAR
Publisher : PHI Learning Pvt. Ltd.
Page : 365 pages
File Size : 53,9 Mb
Release : 2012-05-16
Category : Technology & Engineering
ISBN : 9788120345430
A fine blend of the three disciplines, viz. quality, reliability and maintainability, this book provides a clear understanding of the concepts and discusses their applications using statistical tools and techniques. The concepts are critically assessed and explained to enable their use for management decision-making. The book describes many current topics such as six sigma, capability maturity model integration (CMMI), process data management, reliability system models, repairable system models, maintainability assessment and design and testing concepts. It is intended as a textbook for the undergraduate students of Mechanical Engineering and Production and Industrial Engineering. The book will also be useful to the postgraduate students of Applied Statistics, Quality and Reliability, and Quality and Productivity Management as well as to the management and engineering professionals. KEY FEATURES : Provides charts and plots to explain the concepts discussed. Gives an account of most recent developments. Gives illustrations of practical situations where tools can be applied immediately. Interspersed with plenty of worked-out examples to reinforce the concepts. Includes chapter-end exercises to drill the students in self-study.
Author : William Q. Meeker,Luis A. Escobar,Francis G. Pascual
Publisher : John Wiley & Sons
Page : 708 pages
File Size : 51,9 Mb
Release : 2022-01-24
Category : Technology & Engineering
ISBN : 9781118594483
An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 671 pages
File Size : 49,6 Mb
Release : 2011-06-17
Category : Business & Economics
ISBN : 9781439809525
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.