Anomaly identification with few labeled data in the distillation process based on semisupervised ladder networks
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DOI: 10.1002/prs.12206
Abstract: High repeatability of similar information but a lack of typical fault features, in the monitoring data of distillation processes for continuous production, leads to a small proportion of data with labels. Therefore, the requirement for… read more here.
Keywords: anomaly identification; process; data distillation; based semisupervised ... See more keywords