System Engineering Probabilistic Models And Applications
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System Engineering Probabilistic Models And Applications
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Author : Reynolds Stewart
language : en
Publisher: States Academic Press
Release Date : 2021-11-16
System Engineering Probabilistic Models And Applications written by Reynolds Stewart and has been published by States Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Technology & Engineering categories.
System engineering is an interdisciplinary field of engineering and engineering management, which focuses on designing, integrating and managing complex systems over their life cycles. Fundamentally, it utilizes the principles of systems theory to organize this body of knowledge. An engineered system is the outcome of such efforts, a combination of components that collaborate to collectively perform a useful function. Systems engineering ensures that all likely aspects of a project or system are considered and integrated into a whole. It involves discovering real problems, identifying the most probable failures and finding solutions to these problems. This book elucidates the concepts and innovative models around prospective developments with respect to this field. There has been rapid progress in system engineering and its applications are finding their way across multiple industries. As this field is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject.
Probabilistic Systems Analysis
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Author : Arthur M. Breipohl
language : en
Publisher:
Release Date : 1970
Probabilistic Systems Analysis written by Arthur M. Breipohl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematics categories.
Elementary probability; Engineering applications of probability; Random variables; Expected values; Distribution of functions of Random variables; Applications of Random variables to systems problems; Distributions from data; Estimation; Engineering decisions; Introduction to Random processes; Systems and Random signals.
Probabilistic Modeling In System Engineering
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Author : Andrey Kostogryzov
language : en
Publisher:
Release Date : 2018
Probabilistic Modeling In System Engineering written by Andrey Kostogryzov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Engineering (General). Civil engineering (General) categories.
This book is intended for systems analysts, designers, developers, users, experts, as well as those involved in quality, risk, safety and security management, and, of course, scientists and students. The various sets of original and traditional probabilistic models and interesting results of their applications to the research of different systems are presented. The models are understandable and applicable for solving system engineering problems: to optimize system requirements, compare different processes, rationale technical decisions, carry out tests, adjust technological parameters, and predict and analyze quality and risks. The engineering decisions, scientifically proven by the proposed models and software tools, can provide purposeful, essential improvement of quality and mitigation of risks, and reduce the expense of operating systems. Models, methods, and software tools can also be used in education for system analysis and mathematical modeling on specializations, for example ""systems engineering,"" ""operations research,"" ""enterprise management,"" ""project management,"" ""risk management,"" ""quality of systems,"" ""safety and security,"" ""smart systems,"" ""system of systems,"" etc.
Probabilistic Modeling In System Engineering
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Author : Andrey Kostogryzov
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-09-26
Probabilistic Modeling In System Engineering written by Andrey Kostogryzov and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Technology & Engineering categories.
This book is intended for systems analysts, designers, developers, users, experts, as well as those involved in quality, risk, safety and security management, and, of course, scientists and students. The various sets of original and traditional probabilistic models and interesting results of their applications to the research of different systems are presented. The models are understandable and applicable for solving system engineering problems: to optimize system requirements, compare different processes, rationale technical decisions, carry out tests, adjust technological parameters, and predict and analyze quality and risks. The engineering decisions, scientifically proven by the proposed models and software tools, can provide purposeful, essential improvement of quality and mitigation of risks, and reduce the expense of operating systems. Models, methods, and software tools can also be used in education for system analysis and mathematical modeling on specializations, for example "systems engineering," "operations research," "enterprise management," "project management," "risk management," "quality of systems," "safety and security," "smart systems," "system of systems," etc.
Applied Reliability Engineering And Risk Analysis
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Author : Ilia B. Frenkel
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-22
Applied Reliability Engineering And Risk Analysis written by Ilia B. Frenkel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-22 with Technology & Engineering categories.
This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist
Fundamentals Of Systems Engineering
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Author : Tung Au
language : en
Publisher:
Release Date : 1972
Fundamentals Of Systems Engineering written by Tung Au and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Technology & Engineering categories.
For first courses in probability, statistics, and decision theory for engineering students.
Probabilistic Models For Dynamical Systems Second Edition
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Author : Haym Benaroya
language : en
Publisher: CRC Press
Release Date : 2013-05-02
Probabilistic Models For Dynamical Systems Second Edition written by Haym Benaroya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-02 with Science categories.
Now in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing equations. Introduces probabilistic modeling and explores applications in a wide range of engineering fields Identifies and draws on specialized texts and papers published in the literature Develops the theoretical underpinnings and covers approximation methods and numerical methods Presents material relevant to students in various engineering disciplines as well as professionals in the field This book provides a suitable resource for self-study and can be used as an all-inclusive introduction to probability for engineering. It presents basic concepts, presents history and insight, and highlights applied probability in a practical manner. With updated information, this edition includes new sections, problems, applications, and examples. Biographical summaries spotlight relevant historical figures, providing life sketches, their contributions, relevant quotes, and what makes them noteworthy. A new chapter on control and mechatronics, and over 300 illustrations rounds out the coverage.
Reliability Engineering
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Author : Joel A. Nachlas
language : en
Publisher: CRC Press
Release Date : 2017-03-03
Reliability Engineering written by Joel A. Nachlas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-03 with Technology & Engineering categories.
Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use. The second edition of Reliability Engineering aims to provide an understanding of reliability principles and maintenance planning to help accomplish these goals. This edition expands the treatment of several topics while maintaining an integrated introductory resource for the study of reliability evaluation and maintenance planning. The focus across all of the topics treated is the use of analytical methods to support the design of dependable and efficient equipment and the planning for the servicing of that equipment. The argument is made that probability models provide an effective vehicle for portraying and evaluating the variability that is inherent in the performance and longevity of equipment. With a blend of mathematical rigor and readability, this book is the ideal introductory textbook for graduate students and a useful resource for practising engineers.
Probabilistic Reliability Models
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Author : Igor A. Ushakov
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-07
Probabilistic Reliability Models written by Igor A. Ushakov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-07 with Business & Economics categories.
Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and properly use statistical methods and optimal resource allocation to solve engineering problems. The author supplies engineers with a deeper understanding of mathematical models while also equipping mathematically oriented readers with a fundamental knowledge of the engineeringrelated applications at the center of model building. The book showcases the use of probability theory and mathematical statistics to solve common, real-world reliability problems. Following an introduction to the topic, subsequent chapters explore key systems and models including: • Unrecoverable objects and recoverable systems • Methods of direct enumeration • Markov models and heuristic models • Performance effectiveness • Time redundancy • System survivability • Aging units and their related systems • Multistate systems Detailed case studies illustrate the relevance of the discussed methods to real-world technical projects including software failure avalanches, gas pipelines with underground storage, and intercontinental ballistic missile (ICBM) control systems. Numerical examples and detailed explanations accompany each topic, and exercises throughout allow readers to test their comprehension of the presented material. Probabilistic Reliability Models is an excellent book for statistics, engineering, and operations research courses on applied probability at the upper-undergraduate and graduate levels. The book is also a valuable reference for professionals and researchers working in industry who would like a mathematical review of reliability models and the relevant applications.
System Reliability Theory
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Author : Marvin Rausand
language : en
Publisher: John Wiley & Sons
Release Date : 2003-12-05
System Reliability Theory written by Marvin Rausand and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-05 with Technology & Engineering categories.
A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. To maximize its value as a pedagogical tool, the Second Edition features: Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems Discussion of basic assessment methods for operational availability and production regularity New concepts and terminology not covered in the first edition Revised sequencing of chapters for better pedagogical structure New problems, examples, and cases for a more applied focus An accompanying Web site with solutions, overheads, and supplementary information With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.