Process monitoring using variational autoencoder for high-dimensional nonlinear processes
In many industries, statistical process monitoring techniques play a key role in improving processes through variation reduction and defect prevention. Modern large-scale industrial processes require appropriate monitoring techniques that can efficiently address high-dimensional nonlinear processes....
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| Published in: | Engineering applications of artificial intelligence Vol. 83; pp. 13 - 27 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.08.2019
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| Subjects: | |
| ISSN: | 0952-1976, 1873-6769 |
| Online Access: | Get full text |
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