Reliability Modeling and Assessment of Real-time Artificial Intelligence Systems

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Publisher :
ISBN 13 :
Total Pages : 278 pages
Book Rating : 4.:/5 (326 download)

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Book Synopsis Reliability Modeling and Assessment of Real-time Artificial Intelligence Systems by : David Ta-Wei Tsao

Download or read book Reliability Modeling and Assessment of Real-time Artificial Intelligence Systems written by David Ta-Wei Tsao and published by . This book was released on 1994 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Reliability Analysis Using MATLAB and AI

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Publisher : BPB Publications
ISBN 13 : 939068465X
Total Pages : 204 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Intelligent Reliability Analysis Using MATLAB and AI by : Dr. Cherry Bhargava

Download or read book Intelligent Reliability Analysis Using MATLAB and AI written by Dr. Cherry Bhargava and published by BPB Publications. This book was released on 2021-06-21 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to minimize the global problem of e-waste KEY FEATURES ● Explore core concepts of Reliability Analysis, various smart models, different electronic components, and practical use of MATLAB. ● Cutting edge coverage on building intelligent systems for reliability analysis. ● Includes numerous techniques and methods to identify failure and reliability parameters. DESCRIPTION Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques. The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors. This book makes it easier for readers to understand reliability modeling of active and passive components using the Artificial Neural Network, Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System (ANFIS). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time. WHAT YOU WILL LEARN ● Optimize various acceleration factors for exploring the residual life of components experimentally. ● Design an intelligent model to predict the upcoming faults and failures of electronic components and make provision for timely replacement of the fault components. ● Design experiments using Taguchi’s approach. ● Understand reliability modeling of active and passive components using the Artificial Neural Network and Fuzzy Logic. WHO THIS BOOK IS FOR This book is for current and aspiring emerging tech professionals, researchers, students, and anyone who wishes to understand and diagnose the product life of electronic components using the power of artificial intelligence and various experimental techniques. TABLE OF CONTENTS 1. RELIABILITY FUNDAMENTALS 2. RELIABILITY MEASURES 3. REMAINING USEFUL LIFETIME ESTIMATION TECHNIQUES 4. INTELLIGENT MODELS FOR RELIABILITY PREDICTION 5. ACCELERATED LIFE TESTING 6. EXPERIMENTAL TESTING OF ACTIVE AND PASSIVE COMPONENTS 7. INTELLIGENT MODELING FOR RELIABILITY ASSESSMENT USING MATLAB

Reliability Modeling in Industry 4.0

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Publisher : Elsevier
ISBN 13 : 0323996736
Total Pages : 548 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Reliability Modeling in Industry 4.0 by : Mangey Ram

Download or read book Reliability Modeling in Industry 4.0 written by Mangey Ram and published by Elsevier. This book was released on 2023-03-13 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications. Provides innovative reliability modeling tools related to the application of Industry 4.0 technologies Includes case studies from industries such as rail, energy, and computer systems Describes techniques for the successful digital transformation of industries for sophisticated reliability systems

System Software Reliability

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Publisher : Springer Science & Business Media
ISBN 13 : 1846282950
Total Pages : 442 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis System Software Reliability by : Hoang Pham

Download or read book System Software Reliability written by Hoang Pham and published by Springer Science & Business Media. This book was released on 2007-04-21 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer software reliability has never been so important. Computers are used in areas as diverse as air traffic control, nuclear reactors, real-time military, industrial process control, security system control, biometric scan-systems, automotive, mechanical and safety control, and hospital patient monitoring systems. Many of these applications require critical functionality as software applications increase in size and complexity. This book is an introduction to software reliability engineering and a survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems. Current research results are reported and future directions are signposted. This text will interest: graduate students as a course textbook introducing reliability engineering software; reliability engineers as a broad, up-to-date survey of the field; and researchers and lecturers in universities and research institutions as a one-volume reference.

Reliability and Statistical Computing

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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 Engineering and Computational Intelligence for Complex Systems

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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.

Predictive Analytics in System Reliability

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Publisher : Springer Nature
ISBN 13 : 3031053478
Total Pages : 286 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Predictive Analytics in System Reliability by : Vijay Kumar

Download or read book Predictive Analytics in System Reliability written by Vijay Kumar and published by Springer Nature. This book was released on 2022-09-08 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.

System Assurances

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Publisher : Academic Press
ISBN 13 : 0323902413
Total Pages : 616 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis System Assurances by : Prashant Johri

Download or read book System Assurances written by Prashant Johri and published by Academic Press. This book was released on 2022-02-16 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today’s debugging team’s point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. Students, research scholars, academicians, scientists and industry practitioners will benefit from the book as it provides better insights into modern related global trends, issues and practices. Provides software reliability modeling, simulation and optimization Offers methodologies, tools and practical applications of reliability modeling and resources allocation Presents cost modeling and optimization associated with complex systems

Advances in Computational Mathematics for Industrial System Reliability and Maintainability

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Publisher : Springer Nature
ISBN 13 : 3031535146
Total Pages : 201 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Advances in Computational Mathematics for Industrial System Reliability and Maintainability by : Mohammad Yazdi

Download or read book Advances in Computational Mathematics for Industrial System Reliability and Maintainability written by Mohammad Yazdi and published by Springer Nature. This book was released on with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

System Reliability Theory

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Publisher : John Wiley & Sons
ISBN 13 : 1119374014
Total Pages : 864 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis System Reliability Theory by : Marvin Rausand

Download or read book System Reliability Theory written by Marvin Rausand and published by John Wiley & Sons. This book was released on 2020-10-08 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: · In depth discussion of failures and failure modes · The main system reliability assessment methods · Common-cause failure modeling · Deterioration modeling · Maintenance modeling and assessment using Python code · Bayesian probability and methods · Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.

Reliability Modeling, Analysis And Optimization

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Publisher : World Scientific
ISBN 13 : 9814479993
Total Pages : 506 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Reliability Modeling, Analysis And Optimization by : Hoang Pham

Download or read book Reliability Modeling, Analysis And Optimization written by Hoang Pham and published by World Scientific. This book was released on 2006-06-26 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in reliability and its applications.The book comprises twenty-three chapters organized into four parts: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection, reliability failure analysis, sampling plans and schemes, software development processes and improvement, stochastic process modeling, statistical distributions and analysis, fault-tolerant performance, software measurements and cost effectiveness, queueing theory and applications, system availability, reliability of repairable systems, testing sampling inspection, software capability maturity model, accelerated life modeling, statistical control, and HALT testing.

Optimal Reliability Modeling

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Publisher : John Wiley & Sons
ISBN 13 : 047127545X
Total Pages : 562 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Optimal Reliability Modeling by : Way Kuo

Download or read book Optimal Reliability Modeling written by Way Kuo and published by John Wiley & Sons. This book was released on 2003-02-17 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Promotes better ways to diagnose, maintain, and improve existing systems. Existing reliability evaluation models are examined with respect to today's complicated engineering systems that have hundreds of thousands of integrated component designs.

Reliability Modelling and Analysis of Real-time Systems

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)

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Book Synopsis Reliability Modelling and Analysis of Real-time Systems by : Colin Stanley Perkins

Download or read book Reliability Modelling and Analysis of Real-time Systems written by Colin Stanley Perkins and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scientific and Technical Aerospace Reports

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Publisher :
ISBN 13 :
Total Pages : 702 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reliability Modeling With Computer And Maintenance Applications

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Publisher : #N/A
ISBN 13 : 9813224517
Total Pages : 394 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Reliability Modeling With Computer And Maintenance Applications by : Syouji Nakamura

Download or read book Reliability Modeling With Computer And Maintenance Applications written by Syouji Nakamura and published by #N/A. This book was released on 2017-06-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of Reliability and Maintenance theory and applications has become major concerns of engineers and managers engaged in order to design and product systems that are highly reliable. This book aims to cover the ongoing research topics in computer system, reliability analysis, reliability applications and maintenance policies, so as to provide awareness for those who engage systems design, being students, technicians, or research engineers, as a reference guidebook.

Software Reliability Assessment with OR Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 0857292048
Total Pages : 560 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Software Reliability Assessment with OR Applications by : P.K. Kapur

Download or read book Software Reliability Assessment with OR Applications written by P.K. Kapur and published by Springer Science & Business Media. This book was released on 2013-05-09 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software Reliability Assessment with OR Applications is a comprehensive guide to software reliability measurement, prediction, and control. It provides a thorough understanding of the field and gives solutions to the decision-making problems that concern software developers, engineers, practitioners, scientists, and researchers. Using operations research techniques, readers will learn how to solve problems under constraints such as cost, budget and schedules to achieve the highest possible quality level. Software Reliability Assessment with OR Applications is a comprehensive text on software engineering and applied statistics, state-of-the art software reliability modeling, techniques and methods for reliability assessment, and related optimization problems. It addresses various topics, including: unification methodologies in software reliability assessment; application of neural networks to software reliability assessment; software reliability growth modeling using stochastic differential equations; software release time and resource allocation problems; and optimum component selection and reliability analysis for fault tolerant systems. Software Reliability Assessment with OR Applications is designed to cater to the needs of software engineering practitioners, developers, security or risk managers, and statisticians. It can also be used as a textbook for advanced undergraduate or postgraduate courses in software reliability, industrial engineering, and operations research and management.

Software Reliability Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 4431545654
Total Pages : 98 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Software Reliability Modeling by : Shigeru Yamada

Download or read book Software Reliability Modeling written by Shigeru Yamada and published by Springer Science & Business Media. This book was released on 2013-10-24 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software reliability is one of the most important characteristics of software product quality. Its measurement and management technologies during the software product life cycle are essential to produce and maintain quality/reliable software systems. Part 1 of this book introduces several aspects of software reliability modeling and its applications. Hazard rate and nonhomogeneous Poisson process (NHPP) models are investigated particularly for quantitative software reliability assessment. Further, imperfect debugging and software availability models are discussed with reference to incorporating practical factors of dynamic software behavior. Three software management problems are presented as application technologies of software reliability models: the optimal software release problem, the statistical testing-progress control, and the optimal testing-effort allocation problem. Part 2 of the book describes several recent developments in software reliability modeling and their applications as quantitative techniques for software quality/reliability measurement and assessment. The discussion includes a quality engineering analysis of human factors affecting software reliability during the design review phase, which is the upper stream of software development, as well as software reliability growth models based on stochastic differential equations and discrete calculus during the testing phase, which is the lower stream. The final part of the book provides an illustration of quality-oriented software management analysis by applying the multivariate analysis method and the existing software reliability growth models to actual process monitoring data.