Online semisupervised learning approach for quality monitoring of complex manufacturing process
Data-driven quality monitoring is highly demanded in practice since it enables relieving manual quality inspection of the product quality. Conventional data-driven quality monitoring is constrained by its offline characteristic thus being unable to handle streaming nature of sensory data and nonstat...
| Κύριοι συγγραφείς: | , , , |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Journal Article |
| Γλώσσα: | English |
| Έκδοση: |
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://hdl.handle.net/10356/153757 |