Autonomous quality monitoring for complex manufacturing process
This research investigates the possibilities of using different types of incremental learning algorithms and deep neural networks to monitor the quality of products produced from the complex manufacturing process through binary and multi-class classification to identify defects quickly. To find o...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/138521 |