A steam turbine anomaly detection method based on O-DAE and SVDD
Anomaly detection in unlabeled and highly imbalanced monitoring data is one of the most urgent to be solved and challenging industry problems. The use of autoencoders for anomaly detection is becoming more and more popular due to the powerful high-dimensional data analysis capabilities of autoencode...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2023-07-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9220bef0-e528-4ae0-a37d-90fded4c88a5 |