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A high-dimensional and small-sample submersible fault detection method based on feature selection and data augmentation
Release Time:2023-03-11
  • Institution:
    信息科学与工程学院
  • Journal:
    Sensors
  • Key Words:
    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
  • First Author:
    Zhao, Penghui
  • Document Code:
    1523583462349475842
  • Volume:
    22
  • Issue:
    1
  • Translation or Not:
    No
  • Date of Publication:
    2022-01
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