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Institution:信息科学与工程学院

Title of Paper:A high-dimensional and small-sample submersible fault detection method based on feature selection and data augmentation

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

Release Time:2023-03-11