Reliability Engineering And Computational Intelligence

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Reliability Engineering and Computational Intelligence

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3030745562
Total Pages : 307 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Reliability Engineering and Computational Intelligence by : Coen van Gulijk

Download or read book Reliability Engineering and Computational Intelligence written by Coen van Gulijk and published by Springer Nature. This book was released on 2021-08-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer
ISBN 13 : 3540373683
Total Pages : 398 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer. This book was released on 2006-12-13 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in recent years. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer Science & Business Media
ISBN 13 : 3540373713
Total Pages : 428 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer Science & Business Media. This book was released on 2006-10-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.

Computational Intelligence in Reliability Engineering

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (2 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by :

Download or read book Computational Intelligence in Reliability Engineering written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reliability Engineering and Computational Intelligence for Complex Systems

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3031409973
Total Pages : 224 pages
Book Rating : 4.0/5 (314 download)

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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.

Computational Intelligence in Sustainable Reliability Engineering

Author : S. C. Malik
Publisher : John Wiley & Sons
ISBN 13 : 1119865409
Total Pages : 356 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence in Sustainable Reliability Engineering by : S. C. Malik

Download or read book Computational Intelligence in Sustainable Reliability Engineering written by S. C. Malik and published by John Wiley & Sons. This book was released on 2023-02-16 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer
ISBN 13 : 9783642072192
Total Pages : 0 pages
Book Rating : 4.0/5 (721 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer. This book was released on 2010-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.

Computational Intelligence in Software Quality Assurance

Author : Scott Dick
Publisher : World Scientific
ISBN 13 : 9812561722
Total Pages : 202 pages
Book Rating : 4.8/5 (125 download)

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Book Synopsis Computational Intelligence in Software Quality Assurance by : Scott Dick

Download or read book Computational Intelligence in Software Quality Assurance written by Scott Dick and published by World Scientific. This book was released on 2005 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software systems surround us. Software is a critical component in everything from the family car through electrical power] systems to military equipment. As software ploys an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining arc brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.

New Computational Methods in Power System Reliability

Author : David Elmakias
Publisher : Springer Science & Business Media
ISBN 13 : 3540778101
Total Pages : 416 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis New Computational Methods in Power System Reliability by : David Elmakias

Download or read book New Computational Methods in Power System Reliability written by David Elmakias and published by Springer Science & Business Media. This book was released on 2008-07-07 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society. This comprehensive book describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks.

Computational Intelligence in Time Series Forecasting

Author : Ajoy K. Palit
Publisher : Springer Science & Business Media
ISBN 13 : 1846281849
Total Pages : 382 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Computational Intelligence in Time Series Forecasting by : Ajoy K. Palit

Download or read book Computational Intelligence in Time Series Forecasting written by Ajoy K. Palit and published by Springer Science & Business Media. This book was released on 2006-01-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.

Reliability and Risk Analysis in Engineering and Medicine

Author : Chandrasekhar Putcha
Publisher : Springer Nature
ISBN 13 : 3030804542
Total Pages : 138 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Reliability and Risk Analysis in Engineering and Medicine by : Chandrasekhar Putcha

Download or read book Reliability and Risk Analysis in Engineering and Medicine written by Chandrasekhar Putcha and published by Springer Nature. This book was released on 2021-11-19 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This graduate textbook imparts the fundamentals of reliability and risk that can be connected mathematically and applied to problems in engineering and medical science and practice. The book is divided into eight chapters, the first three of which deal with basic fundamentals of probability theory and reliability methods. The fourth chapter illustrates simulation methods needed to solve complex problems. Chapters 5-7 explain reliability codes and system reliability (which uses the component reliabilities discussed in previous chapters). The book concludes in chapter 8 with an examination of applications of reliability within engineering and medical fields. Presenting a highly relevant competency for graduates entering product research and development, or facilities operations sectors, this text includes many examples and end of chapter study questions to maximize student comprehension. Explains concepts of reliability and risk estimation techniques in the context of medicine and engineering; Elucidates the interplay between reliability and risk from design to operation phases; Uses real world examples from engineering structures and medical devices and protocols; Adopts a lucid yet rigorous presentation of reliability and risk calculations; Reinforces students understanding of concepts covered with end-of-chapter exercises.

Computational Intelligence in Power Engineering

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3642140130
Total Pages : 384 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence in Power Engineering by : Ajith Abraham

Download or read book Computational Intelligence in Power Engineering written by Ajith Abraham and published by Springer. This book was released on 2010-09-08 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.

Computational Intelligence in Sustainable Reliability Engineering

Author : S. C. Malik
Publisher : John Wiley & Sons
ISBN 13 : 1119865018
Total Pages : 356 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence in Sustainable Reliability Engineering by : S. C. Malik

Download or read book Computational Intelligence in Sustainable Reliability Engineering written by S. C. Malik and published by John Wiley & Sons. This book was released on 2023-03-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

Condition Monitoring Using Computational Intelligence Methods

Author : Tshilidzi Marwala
Publisher : Springer Science & Business Media
ISBN 13 : 1447123808
Total Pages : 247 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Condition Monitoring Using Computational Intelligence Methods by : Tshilidzi Marwala

Download or read book Condition Monitoring Using Computational Intelligence Methods written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2012-01-25 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Author : Ankita Bansal
Publisher : CRC Press
ISBN 13 : 100019194X
Total Pages : 809 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Computational Intelligence Techniques and Their Applications to Software Engineering Problems by : Ankita Bansal

Download or read book Computational Intelligence Techniques and Their Applications to Software Engineering Problems written by Ankita Bansal and published by CRC Press. This book was released on 2020-09-27 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Reliability and Statistical Computing

Author : Hoang Pham
Publisher : Springer Nature
ISBN 13 : 3030434125
Total Pages : 325 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Reliability and Statistical Computing by : Hoang Pham

Download or read book Reliability and Statistical Computing written by Hoang Pham and published by Springer Nature. This book was released on 2020-03-28 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.

Reliability Management and Engineering

Author : Harish Garg
Publisher : CRC Press
ISBN 13 : 1000067688
Total Pages : 286 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Reliability Management and Engineering by : Harish Garg

Download or read book Reliability Management and Engineering written by Harish Garg and published by CRC Press. This book was released on 2020-06-15 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.