Tool Fault Diagnosis Method Based on Multiscale-efficient Channel Attention Network

被引：0
|
作者：
Di, Zijun [1 ]
Yuan, Dongfeng [1 ]
Li, Dongyang [1 ]
Liang, Daojun [1 ]
Zhou, Xiaotian [2 ]
Xin, Miaomiao [3 ]
Cao, Feng [3 ]
Lei, Tengfei [3 ]
机构：
[1] School of Information Science and Engineering, Shandong University, Jinan,250100, China
[2] School of Control Science and Engineering, Shandong University, Jinan,250061, China
[3] School of Mechanic and Electronic Engineering, Qilu Institute of Technology, Jinan,250200, China
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2024年 / 60卷 / 06期
关键词：
Computer control systems - Convolution - Convolutional neural networks - Deep learning - Failure analysis - Fault detection - Machine tools - Quality control - Wear of materials;
D O I：
10.3901/JME.2024.06.082
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：82 / 90
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