Products related to Reliability:
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Practical Reliability Engineering
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
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Reliability-Centered Maintenance
Reliability-centred Maintenance is a process used to determine - systematically and scientifically - what must be done to ensure that physical assets continue to do what their users want them to do.Widely recognised by maintenance professionals as the most cost-effective way to develop world-class maintenance strategies, RCM leads to rapid, sustained and substantial improvements in plant availability and reliability, product quality, safety and environmental integrity. The author and his associates have helped users to apply RCM and its more modern derivative, RCM2, on more than 600 sites in 32 countries.These sites include all types of manufacturing (especially automobile, steel, paper, petrochemical, pharmaceutical and food manufacturing, utilities (water, gas and electricity), armed forces, building services, mining telecommunications and transport.This book summarises this experience in the form of an authoritative and completely practical description of what RCM2 is and how it should be applied. The second edition has been comprehensively revised to incorporate the most recent developments in this field.It includes more than 100 pages of new material on condition monitoring, the analysis of functions and failures, human error, the management of risk, failure-finding and the measurement of maintenance performance. This book will be of immense value to maintenance managers, and to anyone else concerned with the reliability, productivity, safety and environmental integrity of physical assets.Its straightforward, plant-based approach makes the book especially well suited to use in centres of higher education. John Moubray, BSc (Mech Eng), spent his early career developing and implementing maintenance management systems, first as a plant engineer then as a consultant.In the early 1980s, he began to focus on the industrial application of RCM under the guidance of the late F Stanley Nowlan.In 1986, he set up Aladon Ltd, a consulting and training company based in Lutterworth, UK.He is currently managing director of Aladon, which specialises exclusively in the development of reliability-centre management processes and their application to physical assets.
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Reliability and Risk Analysis
Completely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels.Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines. Reliability and Risk Analysis, Second Edition, emphasizes an introduction and explanation of the practical methods used in reliability and risk studies, with a discussion of their uses and limitations.It offers basic and advanced methods in reliability analysis that are commonly used in daily practice and provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems.The book goes on to present a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability.End-of-chapter problems and a solutions manual are available to support any course adoptions. This book is refined, simple, and focuses on fundamentals.The audience is the beginner with no background in reliability engineering and rudimentary knowledge of probability and statistics.It can be used by new practitioners, undergraduates, and first-year graduate students.
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Introduction to Reliability Engineering
Introduction to Reliability Engineering A complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective Introduction to Reliability Engineering provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications.Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more.Extensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that now require the use of statistical software for both simulation and analysis of data.A brand-new chapter examines Failure Modes and Effects Analysis (FMEA) and the Reliability Testing chapter has been greatly expanded, while new and expanded sections cover topics such as applied probability, probability plotting with software, the Monte Carlo simulation, and reliability and safety risk.Throughout the text, increased emphasis is placed on the Weibull distribution and its use in reliability engineering.Presenting students with an interdisciplinary perspective on reliability engineering, this textbook: Presents a clear and accessible introduction to reliability engineering that assumes no prior background knowledge of statistics and probabilityTeaches students how to solve problems involving reliability data analysis using software including Minitab and ExcelFeatures new and updated examples, exercises, and problems sets drawn from a variety of engineering fieldsIncludes several useful appendices, worked examples, answers to selected exercises, and a companion website Introduction to Reliability Engineering, Third Edition remains the perfect textbook for both advanced undergraduate and graduate students in all areas of engineering and manufacturing technology.
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How can reliability be increased?
Reliability can be increased by implementing regular maintenance schedules to ensure equipment is functioning properly. Additionally, investing in high-quality equipment and technology can help prevent breakdowns and failures. Providing training to employees on proper usage and maintenance of equipment can also contribute to increased reliability. Finally, having contingency plans in place for potential failures can help minimize downtime and ensure operations continue smoothly.
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How can reliability be discussed?
Reliability can be discussed in terms of consistency and dependability. It involves the ability of a system, process, or product to perform consistently and accurately over time. Reliability can also be discussed in terms of the factors that contribute to or detract from the overall reliability of a system, such as maintenance practices, design quality, and environmental conditions. Additionally, reliability can be evaluated through various methods such as reliability testing, failure analysis, and statistical modeling.
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Would I pass the reliability test?
It is difficult to determine if you would pass a reliability test without more information about the specific test and your performance. Reliability tests typically assess consistency and accuracy of responses, so if you are able to provide consistent and accurate information, you have a good chance of passing. It is important to follow instructions carefully, stay focused, and answer truthfully to increase your chances of passing the reliability test.
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What is the reliability of 3?
The reliability of 3 depends on the context in which it is being used. In general, 3 is considered to be a reliable number in mathematics and statistics, as it is a prime number and has consistent properties when used in calculations. However, in other contexts such as personal opinions or subjective judgments, the reliability of 3 would be more subjective and dependent on individual perspectives.
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Semiconductor Process Reliability in Practice
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Proven processes for ensuring semiconductor device reliabilityCo-written by experts in the field, Semiconductor Process Reliability in Practice contains detailed descriptions and analyses of reliability and qualification for semiconductor device manufacturing and discusses the underlying physics and theory.The book covers initial specification definition, test structure design, analysis of test structure data, and final qualification of the process.Real-world examples of test structure designs to qualify front-end-of-line devices and back-end-of-line interconnects are provided in this practical, comprehensive guide. Coverage includes:Basic device physicsProcess flow for MOS manufacturingMeasurements useful for device reliability characterizationHot carrier injectionGate-oxide integrity (GOI) and time-dependentdielectric breakdown (TDDB)Negative bias temperature instabilityPlasma-induced damageElectrostatic discharge protection of integrated circuitsElectromigrationStress migrationIntermetal dielectric breakdown
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Computer Safety, Reliability, and Security
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The Reliability of Generating Data
All data are the result of human actions whether by experimentations, observations, or declarations.As such, the presumption of knowing what data are about is subject to imperfections that can affect the validity of research efforts.With calls for data-based research comes the need to assure the reliability of generated data.The reliability of converting texts into analyzable data has become a burning issue in several areas.However, this issue has been met by only a few limited, and sometimes misleading measures of the extent to which data can be trusted as surrogates of the phenomena of analytical interests.The statistic proposed by the author – "Krippendorff’s Alpha" – is widely used in the social sciences, not only where human judgements are involved but also where measurements are compared.The Reliability of Generating Data expands on the author’s seminal work in content analysis and develops methods for assessing the reliability of the kind of data that previously defied evaluations for this purpose.It opens with a discussion of the epistemology of reliable data, then presents the most basic alpha coefficient for the single-valued coding of predefined units.This largely familiar way of measuring reliability provides the platform for the succeeding chapters which start with an overview of alternative coefficients and then expand alpha one quality after another, including to cope with the reliabilities of multi-valued coding, segmenting texts into meaningful units, big data, and information retrievals.It also includes a chapter on how to diagnose and remedy imperfections and one on applicable standards, all converging on the statistical issues of the reliability of generating data. Features:Provides an overview of methods for assessing the reliability of generating dataExpands a statistic proposed by the author, already widely used in the social sciencesIncludes many easy to follow numerical examples to illustrate the measuresWritten to be useful to beginning and advanced researchers from many disciplines, notably linguistics, sociology, psychometric and educational research, and medical science
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The Reliability of Mechanical Systems
Clarifying reliability techniques for mechanical systems Engineers strive for reliability with each design they create, an often daunting responsibility that can involve more technical knowledge than the design itself.The Reliability of Mechanical Systems provides practical guidance, bringing clarity to reliability engineering techniques and making complex technical concepts accessible to those who may not understand the language of reliability enough to effectively use the techniques they already know.With detailed explanations of CUSUM analysis, Laplace trends, and more, this book adds value to the work of any engineer.
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Is reliability and punctuality something different?
Reliability and punctuality are related but not the same. Reliability refers to the consistency and dependability of a person or service to deliver as promised, while punctuality specifically refers to being on time. A reliable person may consistently deliver quality work, but they may not always be punctual. Conversely, a punctual person may always be on time, but their work may not always be reliable.
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Where is reliability required and why?
Reliability is required in various aspects of life, including in technology, transportation, healthcare, and communication. In technology, reliability is crucial to ensure that devices and systems function consistently and accurately. In transportation, reliability is necessary to ensure the safety and efficiency of vehicles and infrastructure. In healthcare, reliability is essential for accurate diagnosis and treatment. In communication, reliability is important for effective and timely exchange of information. Overall, reliability is required in these areas to ensure safety, accuracy, and efficiency in our daily lives.
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Which is more important, sincerity or reliability?
Both sincerity and reliability are important qualities, but their importance may depend on the context. In personal relationships, sincerity may be more important as it reflects genuine feelings and intentions. On the other hand, in professional settings, reliability may be more crucial as it demonstrates consistency and trustworthiness in delivering on commitments. Ultimately, both qualities are valuable and can complement each other in building strong and trustworthy relationships.
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What are words like punctuality and reliability?
Words like punctuality and reliability are examples of positive character traits. Punctuality refers to being on time and respecting others' time, while reliability refers to being trustworthy and consistent in one's actions. These words are often used to describe individuals who are dependable and responsible in their commitments and obligations. Overall, these words represent important qualities that contribute to building trust and respect in personal and professional relationships.
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