A high-dimensional and small-sample submersible fault detection method based on feature selection and data augmentation
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所属单位：信息科学与工程学院
论文名称：A high-dimensional and small-sample submersible fault detection method based on feature selection and data augmentation
发表刊物：Sensors
关键字：Data augmentation;Fault detection;Feature selection;High-dimensional sensor data;Limited fault event;Manned submersible;data augmentation;fault detection;feature selection;high-dimensional sensor data;limited fault event;manned submersible
第一作者：Zhao, Penghui
论文编号：1523583462349475842
卷号：22
期号：1
是否译文：否
发表时间：2022-01
发布时间：2023-03-11
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