Reliability Theory Based On Uncertain Lifetimes
Download Reliability Theory Based On Uncertain Lifetimes full books in PDF, epub, and Kindle. Read online free Reliability Theory Based On Uncertain Lifetimes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Ying Liu |
| Publisher | : Springer Nature |
| Total Pages | : 234 |
| Release | : 2021-04-16 |
| Genre | : Technology & Engineering |
| ISBN | : 9811609950 |
This book, to reflect the system’s diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.
| Author | : Ying Liu |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9789811609961 |
This book, to reflect the system's diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance. .
| Author | : N. Limnios |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 515 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1461213843 |
This book presents thirty-one extensive and carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of statistical and probabilistic methods in reliability.
| Author | : Marko Cepin |
| Publisher | : CRC Press |
| Total Pages | : 3668 |
| Release | : 2017-06-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1351809733 |
Safety and Reliability – Theory and Applications contains the contributions presented at the 27th European Safety and Reliability Conference (ESREL 2017, Portorož, Slovenia, June 18-22, 2017). The book covers a wide range of topics, including: • Accident and Incident modelling • Economic Analysis in Risk Management • Foundational Issues in Risk Assessment and Management • Human Factors and Human Reliability • Maintenance Modeling and Applications • Mathematical Methods in Reliability and Safety • Prognostics and System Health Management • Resilience Engineering • Risk Assessment • Risk Management • Simulation for Safety and Reliability Analysis • Structural Reliability • System Reliability, and • Uncertainty Analysis. Selected special sessions include contributions on: the Marie Skłodowska-Curie innovative training network in structural safety; risk approaches in insurance and fi nance sectors; dynamic reliability and probabilistic safety assessment; Bayesian and statistical methods, reliability data and testing; oganizational factors and safety culture; software reliability and safety; probabilistic methods applied to power systems; socio-technical-economic systems; advanced safety assessment methodologies: extended Probabilistic Safety Assessment; reliability; availability; maintainability and safety in railways: theory & practice; big data risk analysis and management, and model-based reliability and safety engineering. Safety and Reliability – Theory and Applications will be of interest to professionals and academics working in a wide range of industrial and governmental sectors including: Aeronautics and Aerospace, Automotive Engineering, Civil Engineering, Electrical and Electronic Engineering, Energy Production and Distribution, Environmental Engineering, Information Technology and Telecommunications, Critical Infrastructures, Insurance and Finance, Manufacturing, Marine Industry, Mechanical Engineering, Natural Hazards, Nuclear Engineering, Offshore Oil and Gas, Security and Protection, Transportation, and Policy Making.
| Author | : Baoding Liu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2011-11-07 |
| Genre | : Computers |
| ISBN | : 3642139582 |
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference.
| Author | : |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 482 |
| Release | : 2017-12-18 |
| Genre | : Computers |
| ISBN | : 3110556677 |
The book addresses the impact of ambient intelligence, particularly its user-centric context-awareness requirement on data management strategies and solutions. Techniques of conceptualizing, capturing, protecting, modelling, and querying context information, as well as context-aware data management application are discussed, making the book is an essential reference for computer scientists, information scientists and industrial engineers.
| Author | : Achintya Haldar |
| Publisher | : World Scientific |
| Total Pages | : 296 |
| Release | : 2006-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9814479748 |
Authored by the most active scholars in their respective areas, this volume covers the most recent developments, both theoretical and applicative, in multi-disciplinary reliability evaluation areas, many of which are cutting-edge and not discussed elsewhere in book form.The broad coverage includes the latest thoughts on design for low probability and high consequence events like the failure of the World Trade Center as well as risk acceptability based on the Life Quality Index. Other chapters discuss the development of the performance-based design concept, and the generally overlooked area of the reliability evaluation of bridges and offshore structures. Since the finite element method is routinely used for structural analyses, emphasis is put on discussing reliability evaluation using finite elements including consideration of the mesh-free finite element method. Corrosion and fatigue reliability evaluation techniques are other urgent issues that are dealt with in depth. Risk-based optimization using lifecycle cost analysis is presented. Among the many additional included topics, a chapter is devoted to health assessment of existing structures, currently one of the most active research areas.
| Author | : Unnikrishnan Nair |
| Publisher | : Academic Press |
| Total Pages | : 510 |
| Release | : 2018-05-15 |
| Genre | : Mathematics |
| ISBN | : 0128020067 |
Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. - Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications - Features an emphasis on the mathematical theory of reliability modeling - Provides many illustrative examples to foster reader understanding
| Author | : Kumar, Akshay |
| Publisher | : IGI Global |
| Total Pages | : 322 |
| Release | : 2021-02-12 |
| Genre | : Mathematics |
| ISBN | : 1799875660 |
In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications. Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas.
| Author | : Andrew N O'Connor |
| Publisher | : RIAC |
| Total Pages | : 220 |
| Release | : 2011 |
| Genre | : Mathematics |
| ISBN | : 1933904062 |
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
