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A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation

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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

First Author:赵朋辉

Document Code:EF5460B763404A29A34DD22EBA79C6F5

Volume:22

Issue:1

Translation or Not:No

Date of Publication:2022-01

Release Time:2022-10-07

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