LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference38 articles.
1. Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes;Wu;Expert Systems with Applications,2022
2. MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults;He;Expert Systems with Applications,2023
3. The effect of signal propagation delay on the measured vibration in planetary gearboxes;Hilbert;Journal of Dynamics, Monitoring and Diagnostics,2022
4. A modified generative adversarial network for fault diagnosis in high-speed train components with imbalanced and heterogeneous monitoring data;Wang;Journal of Dynamics, Monitoring and Diagnostics,2022
5. Hybrid model-driven and data-driven approach for the health assessment of axial piston pumps;Chao;International Journal of Hydromechatronics,2023
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. NPFormer: Interpretable rotating machinery fault diagnosis architecture design under heavy noise operating scenarios;Mechanical Systems and Signal Processing;2025-01
2. Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains;Expert Systems with Applications;2025-01
3. Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot;Engineering Applications of Artificial Intelligence;2024-12
4. Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds;Reliability Engineering & System Safety;2024-11
5. CFSPT: A lightweight cross-machine model for compound fault diagnosis of machine-level motors;Information Fusion;2024-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3