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Engineering Science Reference AI Techniques for Reliability Prediction for Electronic Components

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£188.00 £134.52 £146.19 £157.86 £169.52 £181.19 £192.86 27 July 2026 06 August 2026 16 August 2026 26 August 2026 06 September 2026
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1 day · current 16 days 13 days 12 days 0 4 8 12 16 £139 £185 £187 £188 Days at Price

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Price range: £139 - £188

Price levels: 4 different prices over 42 days

Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 December 2019
Listed Since
27 January 2020

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