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
An anomaly identification model for wind turbine state parameters
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DOI: 10.1016/j.jclepro.2018.05.126
Abstract: Abstract Identifying the anomalies of wind turbine (WT) and maintaining in time will improve the reliability of wind turbine and the efficiency of energy use, however it is difficult toidentify the wind turbine's abnormal operation… read more here.
Keywords: state; wind; anomaly identification; model ... See more keywords
A Framework for Anomaly Identification Applied on Fall Detection
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DOI: 10.1109/access.2021.3083064
Abstract: Automatic systems to monitor people and subsequently improve people’s lives have been emerging in the last few years, and currently, they are capable of identifying many activities of daily living (ADLs). An important field of… read more here.
Keywords: framework anomaly; falls anomalies; anomaly identification; model ... See more keywords