Process-monitoring-for-quality — A machine learning-based modeling for rare event detection
Process Monitoring for Quality is a Big Data-driven quality philosophy aimed at defect detection through binary classification and empirical knowledge discovery. It is founded on Big Models, a predictive modeling paradigm that applies Machine Learning, statistics and optimization techniques to proce...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-09-01
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| Series: | Array |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005620300199 |