location: Current position: Home >> Scientific Research >> Paper Publications

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

Hits:

Affiliation of Author(s):信息科学与工程学院

Journal:SENSORS-BASEL

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:2022-01-01

Pre One:Multiscale registration of medical images based on edge preserving scale space with application in image-guided radiation therapy

Next One:Evaluation of Demons- and FEM-Based Registration Algorithms for Lung Cancer