A Holistic Quality Assurance Approach for Machine Learning Applications in Cyber-Physical Production Systems

A Holistic Quality Assurance Approach for Machine Learning Applications in Cyber-Physical Production Systems

With the trend of increasing sensors implementation in production systems and comprehensive networking, essential preconditions are becoming required to be established for the successful application of data-driven methods of equipment monitoring, process optimization, and other relevant automation t...

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Bibliographic Details
Main Authors: Hajo Wiemer, Alexander Dementyev, Steffen Ihlenfeldt
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
data quality assurance
data mining
machine learning
manufacturing data management
data-driven methods
process optimization
Online Access:https://www.mdpi.com/2076-3417/11/20/9590

Internet

https://www.mdpi.com/2076-3417/11/20/9590

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