- We will send in 10–14 business days.
/images/books/12309114/9781799814641.jpg)
- Publisher: Engineering Science Reference
- ISBN-10: 1799814645
- ISBN-13: 9781799814641
- Format: 21.6 x 27.9 x 2.1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
AI Techniques for Reliability Prediction for Electronic Components (e-book) (used book) | bookbook.eu
Reviews
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.22:44:49
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Engineering Science Reference
- ISBN-10: 1799814645
- ISBN-13: 9781799814641
- Format: 21.6 x 27.9 x 2.1 cm, hardcover
- Language: English English
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.
Reviews