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 tasks.As a protocol, these tasks should be performe