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Reliability Assessment And Optimization Of Complex Systems
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Book Synopsis Reliability Assessment and Optimization of Complex Systems by : Akshay Kumar
Download or read book Reliability Assessment and Optimization of Complex Systems written by Akshay Kumar and published by Elsevier. This book was released on 2024-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization. There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance). Explains the process and application of reliability-based design optimization Covers many metaheuristic approaches such as reliability, cost, and the MTTF of the system Provides the workings and applications of multi-objective optimizations
Book Synopsis Complex System Reliability by : Albert Myers
Download or read book Complex System Reliability written by Albert Myers and published by Springer Science & Business Media. This book was released on 2010-09-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex System Reliability presents a state-of-the-art treatment of complex multi-channel system reliability assessment and provides the requisite tools, techniques and algorithms required for designing, evaluating and optimizing ultra-reliable redundant systems. Critical topics that make Complex System Reliability a unique and definitive resource include: • redundant system analysis for k-out-of-n systems (including complex systems with embedded k-out-of-n structures) involving both perfect and imperfect fault coverage; • imperfect fault coverage analysis techniques, including algorithms for assessing the reliability of redundant systems in which each element is subject to a given coverage value (element level coverage) or in which the system uses voting to avoid the effects of a failed element (fault level coverage); and • state-of-the-art binary decision diagram analysis techniques, including the latest and most efficient algorithms for the reliability assessment of large, complex redundant systems. This practical presentation includes numerous fully worked examples that provide detailed explanations of both the underlying design principles and the techniques (such as combinatorial, recursive and binary decision diagram algorithms) used to obtain quantitative results. Many of the worked examples are based on the design of modern digital fly-by-wire control system technology. Complex System Reliability provides in-depth coverage of systems subject to either perfect or imperfect fault coverage and also the most recent techniques for correctly assessing the reliability of redundant systems that use mid-value-select voting as their primary means of redundancy management. It is a valuable resource for those involved in the design and reliability assessment of highly reliable systems, particularly in the aerospace and automotive sectors.
Book Synopsis Reliability Analysis and Optimization of Complex Systems by : Satish Loonkaran Gandhi
Download or read book Reliability Analysis and Optimization of Complex Systems written by Satish Loonkaran Gandhi and published by . This book was released on 1973 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Reliability Assessment and Optimization by : Yan-Fu Li
Download or read book System Reliability Assessment and Optimization written by Yan-Fu Li and published by John Wiley & Sons. This book was released on 2022-06-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of recently developed methods for assessing and optimizing system reliability. It consists of two main parts, for treating assessment methods and optimization methods, respectively. The first part covers methods of multi-state system reliability modelling and evaluation, Markov processes, Monte Carlo simulation and uncertainty analysis. The methods considered range from piecewise-deterministic Markov processes to belief function analysis. The second part covers optimization methods of mathematical programming and evolutionary algorithms, and problems of multi-objective optimization and optimization under uncertainty. The methods of this part range from non-dominated sorting genetic algorithm to robust optimization. The book also includes the application of the assessment and optimization methods considered on real case studies, particularly with respect to the reliability assessment and optimization of renewable energy systems, and bridges the gap between theoretical method development and engineering practice.
Book Synopsis Reliability Analysis and Maintenance Optimization of Complex Systems by : Qian Qian Zhao
Download or read book Reliability Analysis and Maintenance Optimization of Complex Systems written by Qian Qian Zhao and published by Springer. This book was released on 2024-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages. The book comprises 20 chapters, each addressing different research topics in the reliability and maintenance of complex systems. These chapters are authored by esteemed professors and researchers in the field of reliability engineering, and they are organized as follows: System Reliability Modeling (8 chapters), Optimal Maintenance Models (4 chapters), System Performance and Availability Analysis (3 chapters), and Reliability Testing and Accelerated Life Tests (2 chapters). The remaining chapters focus on reliability testing and life data analysis. The book offers an in-depth exploration of various techniques, algorithms, and practical industry applications, making it an invaluable resource for researchers engaged in system reliability analysis and maintenance optimization, as well as for practical engineers and industrial managers. This book will be useful to students, researchers, and engineers in understanding the latest research issues and techniques in reliability and maintenance engineering.
Book Synopsis Reliability Models of Complex Systems for Robots and Automation by : Hamed Fazlollahtabar
Download or read book Reliability Models of Complex Systems for Robots and Automation written by Hamed Fazlollahtabar and published by CRC Press. This book was released on 2017-11-15 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Availability of a system is a crucial factor for planning and optimization. The concept is more challenging for modern systems such as robots and autonomous systems consisting of a complex configuration of components. As complex systems have become global and essential in today’s society, their reliable design and the determination of their availability have turned into a very important task for managers and engineers. Reliability Models of Complex Systems for Robots and Automation offers different models and approaches for reliability evaluation and optimization of a complex autonomous system. Comprehensive fault tree analysis on the critical components of industrial robots and its integration with the reliability block diagram approach is designed in order to investigate the robot system reliability. The cost and hazard decision tree are integrated for the first time in an approach to evaluate the reliability of a complex system. Considers a complex production system composing of several autonomous robots Develops binary state reliability evaluation model for a complex system Introduces new concepts of hazard decision tree Proposes fault tree and reliability block diagram for complex robotic systems Develops stochastic process based reliability evaluation and optimization models Today’s competitive world with increasing customer demands for highly reliable products makes reliability engineering a more challenging task. Reliability analysis is one of the main tools to ensure agreed delivery deadlines which in turn maintains certainty in real tangible factors such as customer goodwill and company reputation.
Book Synopsis Multi-state System Reliability: Assessment, Optimization And Applications by : Gregory Levitin
Download or read book Multi-state System Reliability: Assessment, Optimization And Applications written by Gregory Levitin and published by World Scientific Publishing Company. This book was released on 2003-03-12 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most books on reliability theory are devoted to traditional binary reliability models allowing for only two possible states for a system and its components: perfect functionality and complete failure. However, many real-world systems are composed of multi-state components, which have different performance levels and several failure modes with various effects on the entire system performance (degradation). Such systems are called Multi-State Systems (MSS). The examples of MSS are power systems where the component performance is characterized by the generating capacity, computer systems where the component performance is characterized by the data processing speed, communication systems, etc.This book is the first to be devoted to Multi-State System (MSS) reliability analysis and optimization. It provides a historical overview of the field, presents basic concepts of MSS, defines MSS reliability measures, and systematically describes the tools for MSS reliability assessment and optimization. Basic methods for MSS reliability assessment, such as a Boolean methods extension, basic random process methods (both Markov and semi-Markov) and universal generating function models, are systematically studied. A universal genetic algorithm optimization technique and all details of its application are described. All the methods are illustrated by numerical examples. The book also contains many examples of application of reliability assessment and optimization methods to real engineering problems.The aim of this book is to give a comprehensive, up-to-date presentation of MSS reliability theory based on modern advances in this field and provide a theoretical summary and examples of engineering applications to a variety of technical problems. From this point of view the book bridges the gap between theoretical advances and practical reliability engineering.
Book Synopsis Reliability and Maintenance of Complex Systems by : Süleyman Özekici
Download or read book Reliability and Maintenance of Complex Systems written by Süleyman Özekici and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex high-technology devices are in growing use in industry, service sectors, and everyday life. Their reliability and maintenance is of utmost importance in view of their cost and critical functions. This book focuses on this theme and is intended to serve as a graduate-level textbook and reference book for scientists and academics in the field. The chapters are grouped into five complementary parts that cover the most important aspects of reliability and maintenance: stochastic models of reliability and maintenance, decision models involving optimal replacement and repair, stochastic methods in software engineering, computational methods and simulation, and maintenance management systems. This wide range of topics provides the reader with a complete picture in a self-contained volume.
Book Synopsis Simulation Methods for Reliability and Availability of Complex Systems by : Javier Faulin
Download or read book Simulation Methods for Reliability and Availability of Complex Systems written by Javier Faulin and published by Springer Science & Business Media. This book was released on 2010-04-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.
Book Synopsis Multi-state System Reliability by : Anatoly Lisnianski
Download or read book Multi-state System Reliability written by Anatoly Lisnianski and published by World Scientific. This book was released on 2003 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to be devoted to multi-state system (MSS) reliability analysis and optimization. It contains a brief historical overview, presents the basic concepts of MSS, defines MSS reliability measures and systematically describes the tools for MSS reliability assessment and optimization. It offers a comprehensive, up-to-date presentation of MSS reliability theory based on the modern advantages in this field and provides a theoretical summary and examples of engineering applications to a variety of technical problems. The book is primarily addressed to practising reliability engineers and researchers with an interest in reliability and performability analysis. It can also be used as a textbook for senior undergraduate or graduate courses in several fields: industrial engineering, electrical engineering, mechanical engineering and applied mathematics.
Book Synopsis The Universal Generating Function in Reliability Analysis and Optimization by : Gregory Levitin
Download or read book The Universal Generating Function in Reliability Analysis and Optimization written by Gregory Levitin and published by Springer Science & Business Media. This book was released on 2006-02-04 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real systems are composed of multi-state components with different performance levels and several failure modes. These affect the whole system's performance. Most books on reliability theory cover binary models that allow a system only to function perfectly or fail completely. "The Universal Generating Function in Reliability Analysis and Optimization" is the first book that gives a comprehensive description of the universal generating function technique and its applications in binary and multi-state system reliability analysis. Features: - an introduction to basic tools of multi-state system reliability and optimization; - applications of the universal generating function in widely used multi-state systems; - examples of the adaptation of the universal generating function to different systems in mechanical, industrial and software engineering. This monograph will be of value to anyone interested in system reliability, performance analysis and optimization in industrial, electrical and nuclear engineering.
Book Synopsis Reliability Assessment for Complex Systems Using Multi-level, Multi-type Reliability Data and Maximum Likelihood Method by :
Download or read book Reliability Assessment for Complex Systems Using Multi-level, Multi-type Reliability Data and Maximum Likelihood Method written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System Reliability Management by : Adarsh Anand
Download or read book System Reliability Management written by Adarsh Anand and published by CRC Press. This book was released on 2018-09-21 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations. Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book. Features: Creates understanding of the costs associated with complex systems Covers reliability measurement of engineering systems Incorporates an efficient effort-based expenditure policy incorporating cost and reliability criteria Provides information for optimal testing stop and release time of software system Presents software performance and security layout Addresses reliability prediction and its maintenance through advanced analytics techniques Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.
Book Synopsis Goal Oriented Methodology and Applications in Nuclear Power Plants by : Yi Xiao-Jian
Download or read book Goal Oriented Methodology and Applications in Nuclear Power Plants written by Yi Xiao-Jian and published by Academic Press. This book was released on 2019-10-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goal Oriented Methodology and Applications in Nuclear Power Plants: A Modern Systems Reliability Approach presents the latest data and research on the modern system reliability approach by GO methodology to improve the quality and reliability of nuclear power plants (NPP). Quality and reliability are two key factors which are critical to the economic success of NPPs, hence this book provides a comprehensive and systematic analysis of the latest data and research illustrated through the provision of examples and solutions, applications and problems to test comprehension. Authors Xiao-Jian, Jian and Hui-Na systematically illustrate reliability modeling, analysis, optimization allocation and assessment, and their applications in NPPs. This book, without assuming prior knowledge, presents all required information in an accessible and easily applied style. It will be particularly valuable to engineering and reliability professionals, nuclear engineering graduate students, reliability engineering specialists and nuclear energy researchers. Presents the latest research and data in one resource, eliminating the need to consult many diverse sources Includes examples and solutions that provide practical applications Combines principles, applications and examples within NPPs to provide a very thorough understanding of the technological aspects presented
Book Synopsis Sequential Optimization and Reliability Assessment for Multidisciplinary Systems Design by : Harish Beeram
Download or read book Sequential Optimization and Reliability Assessment for Multidisciplinary Systems Design written by Harish Beeram and published by . This book was released on 2005 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Motivated by the need of high reliability and safety in complex engineering systems, recently reliability-based design has been increasingly applied in multidisciplinary design optimization (MDO). However, a direct integration of reliability-based design that has been successful in many single disciplinary fields into MDO may present tremendous implementation and numerical difficulties. The reliability analysis and reliability based designs are highly expensive for MDO considering various disciplines that are dependent on each other or coupled. Hence, the present work proposes a methodology of Sequential Optimization and Reliability Assessment for multidisciplinary systems design, to improve the efficiency of reliability-based MDO. The central idea is to decouple the reliability analysis from MDO with sequential cycles of reliability analysis and deterministic MDO and hence to reduce the computational demand"--Abstract, leaf iii.
Book Synopsis Reliability Engineering and Computational Intelligence for Complex Systems by : Coen van Gulijk
Download or read book Reliability Engineering and Computational Intelligence for Complex Systems written by Coen van Gulijk and published by Springer Nature. This book was released on 2023-09-23 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions. In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains.
Book Synopsis Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers by : Anatoly Lisnianski
Download or read book Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers written by Anatoly Lisnianski and published by Springer. This book was released on 2014-11-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field, but is also practically oriented. New theoretical issues are described, including: • combined Markov and semi-Markov processes methods, and universal generating function techniques; • statistical data processing for MSSs; • reliability analysis of aging MSSs; • methods for cost-reliability and cost-availability analysis of MSSs; and • main definitions and concepts of fuzzy MSS. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also discusses life cycle cost analysis and practical optimal decision making for real world MSSs. Numerous examples are included in each section in order to illustrate mathematical tools. Besides these examples, real world MSSs (such as power generating and transmission systems, air-conditioning systems, production systems, etc.) are considered as case studies. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also describes basic concepts of MSS, MSS reliability measures and tools for MSS reliability assessment and optimization. It is a self-contained study resource and does not require prior knowledge from its readers, making the book attractive for researchers as well as for practical engineers and industrial managers.
