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Reliability, Life Testing and the Prediction of Service Lives by Sam C. Saunders Pdf
This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used.
Software Reliability Methods by Doron A. Peled Pdf
This book presents current methods for dealing with software reliability, illustrating the advantages and disadvantages of each method. The description of the techniques is intended for a non-expert audience with some minimal technical background. It also describes some advanced techniques, aimed at researchers and practitioners in software engineering. This reference will serve as an introduction to formal methods and techniques and will be a source for learning about various ways to enhance software reliability. Various projects and exercises give readers hands-on experience with the various formal methods and tools.
Reliability, Maintainability and Risk by David J. Smith Pdf
Reliability, Maintainability and Risk: Practical Methods for Engineers, Eighth Edition, discusses tools and techniques for reliable and safe engineering, and for optimizing maintenance strategies. It emphasizes the importance of using reliability techniques to identify and eliminate potential failures early in the design cycle. The focus is on techniques known as RAMS (reliability, availability, maintainability, and safety-integrity). The book is organized into five parts. Part 1 on reliability parameters and costs traces the history of reliability and safety technology and presents a cost-effective approach to quality, reliability, and safety. Part 2 deals with the interpretation of failure rates, while Part 3 focuses on the prediction of reliability and risk. Part 4 discusses design and assurance techniques; review and testing techniques; reliability growth modeling; field data collection and feedback; predicting and demonstrating repair times; quantified reliability maintenance; and systematic failures. Part 5 deals with legal, management and safety issues, such as project management, product liability, and safety legislation. 8th edition of this core reference for engineers who deal with the design or operation of any safety critical systems, processes or operations Answers the question: how can a defect that costs less than $1000 dollars to identify at the process design stage be prevented from escalating to a $100,000 field defect, or a $1m+ catastrophe Revised throughout, with new examples, and standards, including must have material on the new edition of global functional safety standard IEC 61508, which launches in 2010
Accelerated Quality and Reliability Solutions by Lev M. Klyatis,Eugene Klyatis Pdf
Drawing of real-world issues and with supporting data from industry, this book overviews the technique and equipment available to engineers and scientists to identify the solutions of the physical essence of engineering problems in simulation, accelerated testing, prediction, quality improvement, and risk during the design, manufacturing, and maintenance stages. For this goal the book integrates Quality Improvement and Accelerated Reliability/ Durability/ Maintainability/Test Engineering concepts. Accelerated Quality and Reliability Solutions includes new and unpublished aspects in quality: - complex analysis of factors that influence product quality, and other quality development and improvement problems during design and manufacturing ; in simulation: - the strategy for development of accurate physical simulation of field input influences on the actual product – a system of control for physical simulation of the random input influences – a methodology for selecting a representative input region for accurate simulation of the field conditions; in testing: - useful accelerated reliability testing (UART) – accelerated multiple environmental testing technology – trends in development of UART technology; in studying climate and reliability; in prediction: - accurate prediction (AP) of reliability, durability, and maintainability - criteria of AP - development of techniques, etc.. The book includes new and effective aspects integration of quality, reliability, and maintainability. Other key features: Includes aspects of quality integrated with reliability which can help to solve earlier inaccessible problems during design, manufacturing, and usage Develops a new approach to improving the engineering culture for solving quality and reliability problems. Enables the accurate prediction of quality, reliability, durability, and maintainability Proposes strategies for accelerated quality, reliability, durability, and maintainability improvement and development Combines new techniques with equipment for accurate physical simulation of field situation (mechanical, electrical, multi-environmental, and other influences, as well as human and other factors) for development accelerated testing (including reliability testing) and research Overviews the latest techniques in physical simulation; accelerated testing; prediction of reliability, durability, and maintainability; quality development and improvement; safety aspects of risk assessment, especially for transportation Supported by real life examples and industry data Deals with the latest techniques in physical simulation, accelerated testing, prediction of reliability, durability, maintainability, quality development and safety aspects of risk assessment Provides step-by-step guidance on the accurate prediction of quality factors, the physical simulation of field situations and of accelerated reliability testing Dramatically reduces recalls by solving product improvement problems through the integration of quality development with reliability
COVID-19 and Existential Positive Psychology (PP2.0): The New Science of Self-Transcendence by Paul T. P. Wong,Claude-Hélène Mayer,Gökmen Arslan Pdf
In the era of COVID-19, many people have suffered high levels of stress and mental health problems. To cope with the widespread of suffering (physical, psychological, social, and economical) the positive psychology of personal happiness is no longer the sole approach to examine personal wellbeing. Other approaches such as Viktor Frankl’s theory of self-transcendence provide a promising framework for research and intervention on how to achieve resilience, wellbeing, and happiness through overcoming suffering and self-transcendence. The existential positive psychology of suffering complements the positive psychology of happiness, which is championed by Martin Seligman, as two equal halves of the circle of wellbeing and optimal mental health. This Research Topic aims to examine the different approaches to Positive Psychology and their influence on individual wellbeing during the COVID-19 era. One of the exciting development in the positive psychology of wellbeing is the mounting research on the adaptive benefits of negative emotions, such as shame, guilt, and anger, as well as the dialectical process of balancing negative and positive emotions. As an example, based on all the empirical research and Frankl’s self-transcendence model, Wong has developed the existential positive psychology of suffering (PP2.0) as the foundation for flourishing. Here are a few main tenets of PP2.0: (1) Life is suffering and a constant struggle throughout every stage of development, (2) The search for self-transcendence is a primary motive guided by the meaning mindset and mindful mindset. (3) Wellbeing cannot be sustainable without overcoming and transforming suffering. In this Research Topic we welcome diverse approaches discussing the following points: • The dialectic process of overcoming the challenges of every stage of development as necessary for personal growth and self-transcendence; • The role of self-transcendence in resilience, virtue, meaning, and happiness; • The upside of negative emotions; • The new science of resilience based on cultivating the resilient mindset and character; • How to make the best use of suffering to achieve out potentials & mental health.
Validity and Reliability in Built Environment Research by Vian Ahmed,Alex Opoku,Ayokunle Olanipekun,Monty Sutrisna Pdf
This book aims to guide researchers who are engaged in social science and built environment research through the process of testing the reliability and validity of their research outputs following the application of different methods of data collection. The book presents case studies that emphasize reliability and validity in different examples of qualitative, quantitative and mixed method data sets, as well as covering action research and grounded theory. The reader is guided through case studies that demonstrate: An understanding of the reliability and validity approaches from social science and built environment perspectives in alignment with the relevant research philosophies, approaches and data collection strategies Real research projects that have been conducted by expert researchers on topics such as Lean, BIM, Housing and Sustainability to answer specific or evolving questions in relation to the reliability and validity of research A simple and easy method that students at Masters and PhD levels can relate to in order to adopt a sound reliability and validity approach to their research This book is the essential guide for researchers at undergraduate and postgraduate level who need to understand how to validate the quality of the empirical tests they conduct using different techniques. The book will also be a great asset to supervisors from different backgrounds who need a refresher on this key aspect of the research cycle.
Philosophies of Structural Safety and Reliability by Vladimir Raizer,Isaac Elishakoff Pdf
Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy set-based treatments, and the convex approach. Explaining the theory behind probabilistic analysis, fuzzy set-based treatments, and the convex approach in detail, alongside their implementation, use, and benefits, the book compares and contrasts these methods, enabling the reader to solve problems associated with uncertainty. These uncertainty issues can be seen in civil engineering structures, risk of earthquakes, impact of rough seas on ships, and turbulence affecting aerospace vehicles. Building on the authors’ many years of experience in the field, Philosophies of Structural Safety and Reliability is an essential guide to structural uncertainty. Topics covered in the book include properties of materials and their structural deterioration, safety factor and reliability, risk evaluation and loads, and their combinations. This book will be of interest to students and professionals in the fields of aerospace, civil, mechanical, marine, and ocean engineering.
Reliability and Risk Models by Michael Todinov Pdf
A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: A unique set of 46 generic principles for reducing technical risk Monte Carlo simulation algorithms for improving reliability and reducing risk Methods for setting reliability requirements based on the cost of failure New reliability measures based on a minimal separation of random events on a time interval Overstress reliability integral for determining the time to failure caused by overstress failure modes A powerful equation for determining the probability of failure controlled by defects in loaded components with complex shape Comparative methods for improving reliability which do not require reliability data Optimal allocation of limited resources to achieve a maximum risk reduction Improving system reliability based solely on a permutation of interchangeable components
This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory. This still appears to be an empirically disorganized field and the book suggests employing a deductive base in order to evolve reliability as a science. The study is in line with the fundamental work by Gnedenko. Boris Vladimirovich Gnedenko (1912 – 1995) was a Soviet mathematician who made significant contributions in various scientific areas. His name is especially associated with studies of dependability, for which he is often recognized as the 'father' of reliability theory. In the last few decades, this area has expanded in new directions such as safety, security, risk analysis and other fields, yet the book ‘Mathematical Methods in Reliability Theory’ written by Gnedenko with Alexander Soloviev and Yuri Bélyaev still towers as a pillar of the reliability sector’s configuration and identity. The present book proceeds in the direction opened by the cultural project of the Russian authors; in particular it identifies different trends in the hazard rate functions by means of deductive logic and demonstrations. Further, it arrives at multiple results by means of the entropy function, an original mathematical tool in the reliability domain. As such, it will greatly benefit all specialists in the field who are interested in unconventional solutions.
National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science
Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science Publisher : National Academies Press Page : 257 pages File Size : 54,7 Mb Release : 2019-09-20 Category : Science ISBN : 9780309486194
Reproducibility and Replicability in Science by National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Committee on Science, Engineering, Medicine, and Public Policy,Board on Research Data and Information,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Division on Earth and Life Studies,Nuclear and Radiation Studies Board,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Reproducibility and Replicability in Science Pdf
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Reliability Evaluation of Engineering Systems by Roy Billinton,Ronald N. Allan Pdf
In response to new developments in the field, practical teaching experience, and readers' suggestions, the authors of the warmly received Reliablity Evaluation of Engineering Systems have updated and extended the work-providing extended coverage of fault trees and a more complete examination of probability distribution, among other things-without disturbing the original's concept, structure, or style.
Modeling and Simulation Based Analysis in Reliability Engineering by Mangey Ram Pdf
Recent developments in reliability engineering has become the most challenging and demanding area of research. Modeling and Simulation, along with System Reliability Engineering has become a greater issue because of high-tech industrial processes, using more complex systems today. This book gives the latest research advances in the field of modeling and simulation, based on analysis in engineering sciences. Features Focuses on the latest research in modeling and simulation based analysis in reliability engineering. Covers performance evaluation of complex engineering systems Identifies and fills the gaps of knowledge pertaining to engineering applications Provides insights on an international and transnational scale Modeling and Simulation Based Analysis in Reliability Engineering aims at providing a reference for applications of mathematics in engineering, offering a theoretical sound background with adequate case studies, and will be of interest to researchers, practitioners, and academics.
Reliability in Scientific Research by I. R. Walker Pdf
Covering many techniques widely used in research, this book will help researchers in the physical sciences and engineering solve troublesome - and potentially very time consuming - problems in their work. The book deals with technical difficulties that often arise unexpectedly during the use of various common experimental methods, as well as with human error. It provides preventive measures and solutions for such problems, thereby saving valuable time for researchers. Some of the topics covered are: sudden leaks in vacuum systems, electromagnetic interference in electronic instruments, vibrations in sensitive equipment, and bugs in computer software. The book also discusses mistakes in mathematical calculations, and pitfalls in designing and carrying out experiments. Each chapter contains a summary of its key points, to give a quick overview of important potential problems and their solutions in a given area.
Over the last 50 years, the theory and the methods of reliability analysis have developed significantly. Therefore, it is very important to the reliability specialist to be informed of each reliability measure. This book will provide historical developments, current advancements, applications, numerous examples, and many case studies to bring the reader up-to-date with the advancements in this area. It covers reliability engineering in different branches, includes applications to reliability engineering practice, provides numerous examples to illustrate the theoretical results, and offers case studies along with real-world examples. This book is useful to engineering students, research scientist, and practitioners working in the field of reliability.
Methods for Reliability Improvement and Risk Reduction by Michael Todinov Pdf
Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods: Separation Stochastic separation Introducing deliberate weaknesses Segmentation Self-reinforcement Inversion Reducing the rate of accumulation of damage Permutation Substitution Limiting the space and time exposure Comparative reliability models The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost. Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.