Online process monitoring and fault-detection approach based on adaptive neighborhood preserving embedding
This study aims to solve the problem involving the high false alarm rate experienced during the detection process when using the traditional multivariate statistical process monitoring method. In addition, the existing model cannot be updated according to the actual situation. This article proposes...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-06-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294019838580 |