國立虎尾科技大學 |

Intelligent reliability analysis using MATLAB and AI = perform failure analysis and reliability engineering using MATLAB and artificial intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent reliability analysis using MATLAB and AI / Cherry Bhargava, Pardeep Kumar Sharma.
其他題名:	perform failure analysis and reliability engineering using MATLAB and artificial intelligence /
作者:	Bhargava, Cherry.
其他作者:	Sharma, Pardeep Kumar,
面頁冊數:	1 online resource (196 pages)
標題:	COMPUTERS / Data Science / Data Analytics. -
電子資源:	https://portal.igpublish.com/iglibrary/search/BPB0000229.html
ISBN:	9789390684656

Intelligent reliability analysis using MATLAB and AI = perform failure analysis and reliability engineering using MATLAB and artificial intelligence /
Bhargava, Cherry.

Intelligent reliability analysis using MATLAB and AI perform failure analysis and reliability engineering using MATLAB and artificial intelligence /[electronic resource] ：Cherry Bhargava, Pardeep Kumar Sharma. - 1 online resource (196 pages)

Includes bibliographical references and index.

Intelligent reliability analysis using MATLAB and AI : perform failure analysis and reliability engineering using MATLAB and artificial intelligence -- About the Authors -- About the Reviewers -- Acknowledgement -- Preface -- Table of Contents -- Chapter 1. Reliability Fundamentals -- Chapter 2. Reliability Measures -- Chapter 3. Remaining Useful Lifetime Estimation Techniques -- Chapter 4. Intelligent Models for Reliability Prediction -- Chapter 5. Accelerated Life Testing -- Chapter 6. Experimental Testing of Active and Passive Components -- Chapter 7. Intelligent Modelling For Reliability Assessment Using MATLAB -- Index.

Access restricted to authorized users and institutions.

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.

Mode of access: World Wide Web.

ISBN: 9789390684656Subjects--Topical Terms:

1483869
COMPUTERS / Data Science / Data Analytics.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TK7887.6

Dewey Class. No.: 621.381

Intelligent reliability analysis using MATLAB and AI = perform failure analysis and reliability engineering using MATLAB and artificial intelligence /
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505 0 # $a Intelligent reliability analysis using MATLAB and AI : perform failure analysis and reliability engineering using MATLAB and artificial intelligence -- About the Authors -- About the Reviewers -- Acknowledgement -- Preface -- Table of Contents -- Chapter 1. Reliability Fundamentals -- Chapter 2. Reliability Measures -- Chapter 3. Remaining Useful Lifetime Estimation Techniques -- Chapter 4. Intelligent Models for Reliability Prediction -- Chapter 5. Accelerated Life Testing -- Chapter 6. Experimental Testing of Active and Passive Components -- Chapter 7. Intelligent Modelling For Reliability Assessment Using MATLAB -- Index.
506 # $a Access restricted to authorized users and institutions.
520 3 $a 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.
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