Weibull Analysis

Weibull Analysis
Author: Bryan Dodson
Publisher:
Total Pages: 284
Release: 1994
Genre: Technology & Engineering
ISBN:

For practicing reliability engineers, a comprehensive guide to the Weibull distribution, which has wide applications to such tasks as troubleshooting, classifying failure types, and scheduling preventative maintenance and inspections. Describes parameter estimations, confidence intervals, goodness of fit, applications to multiple-censored data, and

The Weibull Distribution

The Weibull Distribution
Author: Horst Rinne
Publisher: CRC Press
Total Pages: 812
Release: 2008-11-20
Genre: Business & Economics
ISBN: 1420087444

The Most Comprehensive Book on the SubjectChronicles the Development of the Weibull Distribution in Statistical Theory and Applied StatisticsExploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various ap

Using the Weibull Distribution

Using the Weibull Distribution
Author: John I. McCool
Publisher: John Wiley & Sons
Total Pages: 366
Release: 2012-08-06
Genre: Technology & Engineering
ISBN: 1118351983

Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self-contained presentation of the probabilistic basis for the methodology while providing powerful techniques for extracting information from data. The author explains the use of the Weibull distribution and its statistical and probabilistic basis, providing a wealth of material that is not available in the current literature. The book begins by outlining the fundamental probability and statistical concepts that serve as a foundation for subsequent topics of coverage, including: • Optimum burn-in, age and block replacement, warranties and renewal theory • Exact inference in Weibull regression • Goodness of fit testing and distinguishing the Weibull from the lognormal • Inference for the Three Parameter Weibull Throughout the book, a wealth of real-world examples showcases the discussed topics and each chapter concludes with a set of exercises, allowing readers to test their understanding of the presented material. In addition, a related website features the author's own software for implementing the discussed analyses along with a set of modules written in Mathcad®, and additional graphical interface software for performing simulations. With its numerous hands-on examples, exercises, and software applications, Using the Weibull Distribution is an excellent book for courses on quality control and reliability engineering at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for engineers, scientists, and business analysts who gather and interpret data that follows the Weibull distribution

The New Weibull Handbook

The New Weibull Handbook
Author: Robert B. Abernethy
Publisher:
Total Pages: 276
Release: 1996
Genre: Technology & Engineering
ISBN:

This handbook will provide an understanding of standard and advanced Weibull and Log Normal techniques originally developed for failure analysis.

Recent Advances in Reliability and Quality in Design

Recent Advances in Reliability and Quality in Design
Author: Hoang Pham
Publisher: Springer Science & Business Media
Total Pages: 524
Release: 2008-05-20
Genre: Technology & Engineering
ISBN: 1848001134

This book presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modelling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges. The book therefore provides a state-of-the-art survey of reliability and quality in design and practices.

Weibull Models

Weibull Models
Author: D. N. Prabhakar Murthy
Publisher: John Wiley & Sons
Total Pages: 409
Release: 2004-01-28
Genre: Mathematics
ISBN: 0471473278

A comprehensive perspective on Weibull models The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume. This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics for future research. Organized into seven distinct parts, Weibull Models: * Covers model analysis, parameter estimation, model validation,and application * Serves as both a handbook and a research monograph. As ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner * Intertwines theory and application * Focuses on model identification prior to model parameterestimation * Discusses the usefulness of the Weibull Probability plot (WPP)in the model selection to model a given data set * Highlights the use of Weibull models in reliability theory Filled with in-depth analysis, Weibull Models pulls together themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer.

Fatigue Testing and Analysis of Results

Fatigue Testing and Analysis of Results
Author: W. Weibull
Publisher: Elsevier
Total Pages: 322
Release: 2013-10-22
Genre: Technology & Engineering
ISBN: 1483154165

Fatigue Testing and Analysis of Results discusses fundamental concepts of fatigue testing and results analysis. The book begins with a description of the symbols and nomenclature selected for the present book, mainly those proposed by the ASTM Committee E-9 on Fatigue. Fatigue testing methods are then discussed including routine tests, short-life and long-life tests, cumulative-damage tests, and abbreviated and accelerated tests. Separate chapters cover fatigue testing machines and equipment; instruments and measuring devices; and test pieces used in fatigue testing. The factors affecting test results are considered, including material, types of stressing, test machine, environment, and testing technique. The final two chapters cover the planning of test programs and the presentation of results. Test program planning involves the statistical design of a test series; specification and sampling of test pieces; and choice of test pieces, testing machines, and test conditions. The chief purpose of most fatigue tests is the experimental determination of the relation between the endurance and the magnitude of the applied stress range for the material and the specimen under consideration, and final results can be condensed into a table, graph, or analytical expression.

Bayesian Survival Analysis

Bayesian Survival Analysis
Author: Joseph G. Ibrahim
Publisher: Springer Science & Business Media
Total Pages: 494
Release: 2013-03-09
Genre: Medical
ISBN: 1475734476

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Statistical Methods for Reliability Data

Statistical Methods for Reliability Data
Author: William Q. Meeker
Publisher: John Wiley & Sons
Total Pages: 708
Release: 2022-01-24
Genre: Technology & Engineering
ISBN: 1118594487

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.

Re-engineering Manufacturing for Sustainability

Re-engineering Manufacturing for Sustainability
Author: Andrew Y. C. Nee
Publisher: Springer Science & Business Media
Total Pages: 719
Release: 2013-04-08
Genre: Technology & Engineering
ISBN: 9814451487

This edited volume presents the proceedings of the 20th CIRP LCE Conference, which cover various areas in life cycle engineering such as life cycle design, end-of-life management, manufacturing processes, manufacturing systems, methods and tools for sustainability, social sustainability, supply chain management, remanufacturing, etc.