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Reliability Data Collection and Analysis

Reliability Data Collection and Analysis
Author: J. Flamm
Publisher: Springer Science & Business Media
Total Pages: 323
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9401124388
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The ever increasing public demand and the setting-up of national and international legislation on safety assessment of potentially dangerous plants require that a correspondingly increased effort be devoted by regulatory bodies and industrial organisations to collect reliability data in order to produce safety analyses. Reliability data are also needed to assess availability of plants and services and to improve quality of production processes, in particular, to meet the needs of plant operators and/or designers regarding maintenance planning, production availability, etc. The need for an educational effort in the field of data acquisition and processing has been stressed within the framework of EuReDatA, an association of organisations operating reliability data banks. This association aims to promote data exchange and pooling of data between organisations and to encourage the adoption of compatible standards and basic definitions for a consistent exchange of reliability data. Such basic definitions are considered to be essential in order to improve data quality. To cover issues directly linked to the above areas ample space is devoted to the definition of failure events, common cause and human error data, feedback of operational and disturbance data, event data analysis, lifetime distributions, cumulative distribution functions, density functions, Bayesian inference methods, multivariate analysis, fuzzy sets and possibility theory, etc.

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
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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.

Reliability Data on Fire Sprinkler Systems

Reliability Data on Fire Sprinkler Systems
Author: Arnstein Fedøy
Publisher: CRC Press
Total Pages: 132
Release: 2019-09-04
Genre: Technology & Engineering
ISBN: 1000651991
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This book covers fire and extinguishing theory and reliability theory and how to validate any survey within the field of engineering. It’s based on a year’s study of historical literature, using critical review and document analysis. It covers how data is collected, analyzed, and presented. It discusses reliability theory, calculation, and uncertainty analysis, and after validating proposes a new methodology and approach using general scientific value and examples. Features Includes an in-depth study on relevant sprinkler reliability studies based for the first time on critical review and document analysis Presents a scientific validating analysis of studies based on how a survey should be conducted Critiques the fact that reliability of a sprinkler system as its ability to function as designed, has never been subject to surveys Suggestions for new survey methodology that can be used for the field of engineering, including all active and passive fire protection measures Discusses extinguishing theory, general design of extinguishing systems, different systems and the reliability of them all "Reliability Data on Fire Sprinkler Systems" will be of interest to Reliability Engineers, Systems, Architecture and Engineers, Design, Maintenance, Mechanical and, Civil Engineers, as well as those working in the field of fire protection and building and fire codes.

Reliability Data Collection and Use in Risk and Availability Assessment

Reliability Data Collection and Use in Risk and Availability Assessment
Author: Hans-Jörg Wingender
Publisher: Springer Science & Business Media
Total Pages: 722
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 364282773X
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Reliability data collection and its use in risk and availability assessment is a subject of increasing importance. The founders of EuReDatA, and in particular, Arne Ullman, the originator 'and first Chairman of the Association, recognised the need for a body capable of acting as a catalyst and providing a unified approach to this subject. It is therefore a prevailing objective of the European Reliability Databank Association to initiate and support contact between experts, companies and institutions active in reliability engineering and research. Although the first and principle interest of EuReDatA is reliability data and data banks, the Association is aware that these are tools that are used with others to establish and maintain reliability and safety. It is with this objective that EuReDatA regularly holds conferences and seminars covering a range of reliability topics. C.A. Campbell H.J. Wingender EuReDatA Chairman Organiser, Editor Contents CHAPTER 1: OVERVIEWS Data Situation and the Quality of Risk Assessment (FRG) A. Birkhofer, K. Koberlein (GRS) ..••••....•.•...••.....•.•.. 3 Reliability Engineering in Europe (CEC) G. Volta (JRC-Ispra) •...••••... •...........•••.•....•.••..••. 16 1984: A Year of Industrial Catastrophies.

Practical Methods for Reliability Data Analysis

Practical Methods for Reliability Data Analysis
Author: Jake Ansell
Publisher: Oxford University Press
Total Pages: 264
Release: 1994
Genre: Mathematics
ISBN: 9780198536642
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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.

Statistical Analysis of Reliability Data

Statistical Analysis of Reliability Data
Author: Martin J. Crowder
Publisher: Routledge
Total Pages: 264
Release: 2017-11-13
Genre: Business & Economics
ISBN: 1351414623
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Written for those who have taken a first course in statistical methods, this book takes a modern, computer-oriented approach to describe the statistical techniques used for the assessment of reliability.

Applied Thematic Analysis

Applied Thematic Analysis
Author: Greg Guest
Publisher: SAGE
Total Pages: 321
Release: 2012
Genre: Medical
ISBN: 1412971675
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This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups, relating predominantly to applied qualitative studies. The book covers all aspects of the qualitative data analysis process, employing a phenomenological approach which has a primary aim of describing the experiences and perceptions of research participants. Similar to Grounded Theory, the authors' approach is inductive, content-driven, and searches for themes within textual data.

Introduction to Reliability Analysis

Introduction to Reliability Analysis
Author: Shelemyahu Zacks
Publisher: Springer Science & Business Media
Total Pages: 226
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461228549
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Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.

The Reliability Data Handbook

The Reliability Data Handbook
Author: T. R. Moss
Publisher: Professional Engineering Publishing
Total Pages: 320
Release: 2004
Genre: Technology & Engineering
ISBN:
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Component failure rate data are a vital part of any reliability or safety study and highly relevant to the engineering community across many disciplines. This book gives a comprehensive account of the subject.

Reliability Assessment of Safety and Production Systems

Reliability Assessment of Safety and Production Systems
Author: Jean-Pierre Signoret
Publisher: Springer Nature
Total Pages: 878
Release: 2021-03-23
Genre: Technology & Engineering
ISBN: 3030647080
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This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems. Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including: • Background and overview of safety and dependability studies; • Explanation and critical analysis of definitions related to core concepts; • Risk identification through qualitative approaches (preliminary hazard analysis, HAZOP, FMECA, etc.); • Modelling of industrial systems through static (fault tree, reliability block diagram), sequential (cause-consequence diagrams, event trees, LOPA, bowtie), and dynamic (Markov graphs, Petri nets) approaches; • Probabilistic calculations through state-of-the-art analytical or Monte Carlo simulation techniques; • Analysis, modelling, and calculations of common cause failure and uncertainties; • Linkages and combinations between the various modelling and calculation approaches; • Reliability data collection and standardization. The book features illustrations, explanations, examples, and exercises to help readers gain a detailed understanding of the topic and implement it into their own work. Further, it analyses the production availability of production systems and the functional safety of safety systems (SIL calculations), showcasing specific applications of the general theory discussed. Given its scope, this book is a valuable resource for engineers, software designers, standard developers, professors, and students.