Computational Intelligence In Reliability Engineering

Author : Coen van Gulijk,Elena Zaitseva
Publisher : Springer Nature
Page : 307 pages
File Size : 45,9 Mb
Release : 2021-08-06
Category : Technology & Engineering
ISBN : 9783030745561

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Reliability Engineering and Computational Intelligence by Coen van Gulijk,Elena Zaitseva Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 43,7 Mb
Release : 2007
Category : Computational intelligence
ISBN : LCCN:2006931548

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Computational Intelligence in Reliability Engineering by Anonim Pdf

Author : Gregory Levitin
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 50,5 Mb
Release : 2006-10-25
Category : Mathematics
ISBN : 9783540373711

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Computational Intelligence in Reliability Engineering by Gregory Levitin Pdf

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.

Author : Gregory Levitin
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 49,5 Mb
Release : 2006-10-26
Category : Mathematics
ISBN : 9783540373674

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Computational Intelligence in Reliability Engineering by Gregory Levitin Pdf

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.

Author : Coen van Gulijk,Elena Zaitseva,Miroslav Kvassay
Publisher : Springer Nature
Page : 224 pages
File Size : 43,8 Mb
Release : 2023-09-23
Category : Technology & Engineering
ISBN : 9783031409974

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Reliability Engineering and Computational Intelligence for Complex Systems by Coen van Gulijk,Elena Zaitseva,Miroslav Kvassay Pdf

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.

Author : S. C. Malik,Deepak Sinwar,Ashish Kumar,S. R. Gadde,Prasenjit Chatterjee,Bui Thanh Hung
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 49,5 Mb
Release : 2023-03-28
Category : Technology & Engineering
ISBN : 9781119865018

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Computational Intelligence in Sustainable Reliability Engineering by S. C. Malik,Deepak Sinwar,Ashish Kumar,S. R. Gadde,Prasenjit Chatterjee,Bui Thanh Hung Pdf

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.

Author : Gregory Levitin
Publisher : Springer
Page : 0 pages
File Size : 40,9 Mb
Release : 2010-11-17
Category : Mathematics
ISBN : 3642072194

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Computational Intelligence in Reliability Engineering by Gregory Levitin Pdf

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.

Author : Scott Dick,Abraham Kandel
Publisher : World Scientific
Page : 202 pages
File Size : 49,9 Mb
Release : 2005
Category : Technology & Engineering
ISBN : 9789812561725

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Computational Intelligence in Software Quality Assurance by Scott Dick,Abraham Kandel Pdf

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.

Author : Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh
Publisher : CRC Press
Page : 223 pages
File Size : 54,5 Mb
Release : 2023-09-25
Category : Technology & Engineering
ISBN : 9781000932966

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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh Pdf

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Author : Bhargava, Cherry
Publisher : IGI Global
Page : 330 pages
File Size : 47,9 Mb
Release : 2019-12-06
Category : Computers
ISBN : 9781799814665

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AI Techniques for Reliability Prediction for Electronic Components by Bhargava, Cherry Pdf

In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.

Author : P. K. Kapur
Publisher : Springer Nature
Page : 391 pages
File Size : 40,5 Mb
Release : 2024-06-19
Category : Electronic
ISBN : 9783031550485

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Reliability Engineering for Industrial Processes by P. K. Kapur Pdf

Author : Hoang Pham
Publisher : Springer Nature
Page : 325 pages
File Size : 52,8 Mb
Release : 2020-03-28
Category : Technology & Engineering
ISBN : 9783030434120

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Reliability and Statistical Computing by Hoang Pham Pdf

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.

Author : Mohammad Yazdi
Publisher : Springer Nature
Page : 201 pages
File Size : 42,9 Mb
Release : 2024-06-19
Category : Electronic
ISBN : 9783031535147

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Advances in Computational Mathematics for Industrial System Reliability and Maintainability by Mohammad Yazdi Pdf

Author : Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Gupta
Publisher : Springer Nature
Page : 138 pages
File Size : 45,6 Mb
Release : 2021-11-19
Category : Technology & Engineering
ISBN : 9783030804541

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Reliability and Risk Analysis in Engineering and Medicine by Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Gupta Pdf

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.

Author : David Elmakias
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 53,6 Mb
Release : 2008-07-07
Category : Mathematics
ISBN : 9783540778103

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New Computational Methods in Power System Reliability by David Elmakias Pdf

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.