AI Techniques for Reliability Prediction for Electronic Components

Language: English

Published by Engineering Science Reference, 2019

1799814645 / 9781799814641

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781799814641

Title
AI Techniques for Reliability Prediction for Electronic Components
Author
Cherry Bhargava
Publisher
Engineering Science Reference
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1799814645
ISBN 13
9781799814641
Item weight
1,146 grams
Dimensions
286x221x23 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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