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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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Site Reliability Engineering
The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation.So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world.You'll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient-lessons directly applicable to your organization. This book is divided into four sections: Introduction-Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles-Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices-Understand the theory and practice of an SRE's day-to-day work: building and operating large distributed computing systems Management-Explore Google's best practices for training, communication, and meetings that your organization can use
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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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Reliability Engineering : A Life Cycle Approach
Updated throughout for the second edition, Reliability Engineering: A Life Cycle Approach draws on the author’s global industry experience to demonstrate the invaluable role reliability engineers play in the entire life cycle of a plant.Applicable to both high-cost, cutting-edge plants and to plants operating under serious budget constraints, this textbook uses a practical approach to cover the theory of reliability engineering, alongside the design, operation, and maintenance required in a plant.This textbook has been updated to cover the modern standards of maintenance practice, most notably the ISO 55 000 standards.It also covers linear programming, failure analysis, financial management, and analysis.This textbook refers to case studies throughout. This textbook will be of interest to students and engineers in the field of reliability, mechanical, manufacturing, and industrial engineering.It will also be relevant to automotive and aerospace engineers.
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Modeling Remaining Useful Life Dynamics in Reliability Engineering
This book applies traditional reliability engineering methods to prognostics and health management (PHM), looking at remaining useful life (RUL) and its dynamics, to enable engineers to effectively and accurately predict machinery and systems useful lifespan.One of the key tools used in defining and implementing predictive maintenance policies is the RUL indicator.However, it is essential to account for the uncertainty inherent to the RUL, as otherwise predictive maintenance strategies can be incorrect.This can cause high costs or, alternatively, inappropriate decisions.Methods used to estimate RUL are numerous and diverse and, broadly speaking, fall into three categories: model-based, data-driven, or hybrid, which uses both.The author starts by building on established theory and looks at traditional reliability engineering methods through their relation to PHM requirements and presents the concept of RUL loss rate.Following on from this, the author presents an innovative general method for defining a nonlinear transformation enabling the mean residual life to become a linear function of time.He applies this method to frequently encountered time-to-failure distributions, such as Weibull and gamma, and degradation processes.Latest research results, including the author’s (some of which were previously unpublished), are drawn upon and combined with very classical work.Statistical estimation techniques are then presented to estimate RUL from field data, and risk-based methods for maintenance optimization are described, including the use of RUL dynamics for predictive maintenance. The book ends with suggestions for future research, including links with machine learning and deep learning. The theory is illustrated by industrial examples. Each chapter is followed by a series of exercises. FEATURES Provides both practical and theoretical background of RUL Describes how the uncertainty of RUL can be related to RUL loss rate Provides new insights into time-to-failure distributions Offers tools for predictive maintenanceThis book will be of interest to engineers, researchers and students in reliability engineering, prognostics and health management, and maintenance management.
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Industrial Reliability and Safety Engineering : Applications and Practices
This book addresses the reliability, risk, and safety issues of real industrial systems with application of the latest reliability and risk-based modeling.Related topics such as maintenance decision-making and risk and safety modeling are also addressed with the implementation of decision-making techniques.The book provides real-life studies on industrial operations along with solutions.It discusses modeling and optimization of reliability and safety aspects in industry and covers reliability maintenance issues in process industries.The book goes on to present cost optimization, life cycle costing analysis, and multi-criteria decision making (MCDM) application for risk and safety analysis.Academic institutions, students, professionals, large companies involved in engineering sciences, research scholars, and investigators working in the domain of Reliability and Safety Engineering and its allied domains will find this book useful.
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Total Manufacturing Assurance : Controlling Product Quality, Reliability, and Safety
This new edition presents an enhanced perspective for the innovative concept of Total Manufacturing Assurance (TMA) and the holistic means by which such assurance can be attained.In fulfilling this objective, this textbook discusses the management and engineering techniques and tools, required to achieve TMA.Using a holistic approach to manufacturing operations, Total Manufacturing Assurance: Controlling Product Quality, Reliability, and Safety, Second Edition focuses on analytics and performance assessment, along with Industry 4.0 and the role it plays in advanced manufacturing.The textbook covers strategic planning, innovation, and engineering economics, as well as the manufacturing process, materials, and operations.Product manufacturing system reliability, maintainability, availability, quality, and safety, along with financial issues in decision-making and engineering analysis, are all captured in this new edition.Students at undergraduate and graduate levels studying engineering management, mechanical, industrial, and manufacturing engineering, as well as business students will find this new edition an invaluable instructional resource.At the same time, working professionals, including management, engineers, and others who are intimately involved in the manufacturing system sector will also find this textbook very useful in their day-to-day work.PowerPoint slides and a solutions manual are available to instructors for qualified course adoptions.
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Database Reliability Engineering : Designing and Operating Resilient Database Systems
The infrastructure-as-code revolution in IT is also affecting database administration.With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations.Authors Laine Campbell and Charity Majors provide a framework for professionals looking to join the ranks of today’s database reliability engineers (DBRE).You’ll begin by exploring core operational concepts that DBREs need to master.Then you’ll examine a wide range of database persistence options, including how to implement key technologies to provide resilient, scalable, and performant data storage and retrieval.With a firm foundation in database reliability engineering, you’ll be ready to dive into the architecture and operations of any modern database.This book covers: Service-level requirements and risk management Building and evolving an architecture for operational visibility Infrastructure engineering and infrastructure management How to facilitate the release management process Data storage, indexing, and replication Identifying datastore characteristics and best use cases Datastore architectural components and data-driven architectures
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