An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems
Reference67 articles.
1. Hydraulic piston pump in civil aircraft: current status, future directions and critical technologies;Guo;Chin. J. Aeronaut.,2020
2. A theoretical dynamic model to study the vibration response characteristics of an axial piston pump;Ye;Mech. Syst. Signal. Process.,2020
3. Theoretical investigation of the contributions of the excitation forces to the vibration of an axial piston pump;Ye;Mech. Syst. Signal Process.,2019
4. Review of cylinder block/valve plate interface in axial piston pumps: theoretical models, experimental investigations, and optimal design;Zhao;Chin. J. Aeronaut.,2021
5. Method using L-kurtosis and enhanced clustering-based segmentation to detect faults in axial piston pumps;Gao;Mech. Syst. Signal. Process.,2021
Cited by 120 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. The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions;Reliability Engineering & System Safety;2024-12
2. 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
3. Research on proportional valve spool wear diagnostic method hybrid-driven by the valve port energy loss mechanism model and data;Mechanical Systems and Signal Processing;2024-10
4. A hybrid deep learning model towards fault diagnosis of drilling pump;Applied Energy;2024-10
5. A simulation-driven difference mode decomposition method for fault diagnosis in axial piston pumps;Advanced Engineering Informatics;2024-10
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