山东大学教师主页贾磊 Fault diagnosis of power transformers based on dissolved gas analysis and improved LightGBM hybrid integrated model with dual-branch structure 中文主页

贾磊 ( 教授 ) 赞
个人主页 https://faculty.sdu.edu.cn/jialei1/zh_CN/index.htm

教授

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果

A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction

点击次数：
所属单位：海洋研究院
论文名称：A novel local enhanced channel self-attention based on Transformer for industrial remaining useful life prediction
发表刊物：Engineering Applications of Artificial Intelligence
第一作者：张志政
论文编号：FF32DC38E3C84D07953C824C5C04F448
期号：141
字数：10
是否译文：否
发表时间：2025-02
发布时间：2025-02-22

上一条： Modified Lamb Wave Delay Factor-based Multiply-sum Probabilistic Diagnostic Imaging Algorithm of Composite Structures

下一条： Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings