A review on input features for control chart patterns recognition
Control chart pattern recognition (CCPR) is an essential tool for monitoring and diagnosing manufacturing process variability. It is used for recognizing manufacturing processes’ abnormality. The specific type of patterns can be predicted with improved classification accuracy and less computational...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95877/ |
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| Institution: | Universiti Teknologi Malaysia |