AI techniques for reliability prediction for electronic components:

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...

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Bibliographische Detailangaben
Weitere Verfasser: Bhargava, Cherry (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global 2019
Schlagworte:
Online-Zugang:DE-91
DE-20
DE-1049
DE-898
DE-706
DE-1050
DE-573
DE-83
Zusammenfassung: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
Beschreibung:Description based upon print version of record
Description based on title screen (IGI Global, viewed 10/31/2019)
Beschreibung:1 Online-Ressource (23 PDFs (330 pages))
ISBN:9781799814665

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