跳到主要导航
跳到搜索
跳到主要内容
西北工业大学 国内
English
中文
国内
简介
研究单位
科研成果
按专业知识、名称或附属进行搜索
Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning
Sijie Liu, Jin Li, Nan Zhou,
Geng Chen
,
Kuan Lu
, Yafeng Wu
计算机学院
力学与土木建筑学院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
›
文章
›
同行评审
3
引用 (Scopus)
综述
指纹
指纹
探究 'Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Chemical Engineering
Deep Learning Method
100%
Supervised Learning
100%
Biochemistry, Genetics and Molecular Biology
Receptive Field
100%
Neuroscience
Receptive Field
100%
Computer Science
Data Availability
33%
Supervised Learning Strategy
33%
Focused Strategy
33%
Engineering
Transmission Shaft
25%