Numerical simulation of gears for fault detection using artificial intelligence models
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference36 articles.
1. O.D. Mohammed, M. Rantatalo, Gear fault models and dynamics-based modelling for gear fault detection – a review, Eng. Fail. Anal. 117 (2020) 104798-818. 10.1016/ j.engfailanal.2020.104798.
2. Integrating angle-frequency domain synchronous averaging technique with feature extraction for gear fault diagnosis;Zhang;Mech. Syst. Signal Process.,2018
3. Generalized vold-kalman filtering for nonstationary compound faults feature extraction of bearing and gear;Zhao;IEEE Trans. Instrum. Meas.,2020
4. Gear fault feature extraction and diagnosis method under different load excitation based on EMD;Han;J. Mech. Sci. Technol.,2019
5. Gear fault diagnosis using transmission error and ensemble empirical mode decomposition;Park;Mech. Syst. Sig. Process.,2018
Cited by 20 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. An optimized dynamic model improved deep discriminative transfer learning network for fault detection in rotation vector reducers;Reliability Engineering & System Safety;2024-11
2. A comparative experimental research on the diagnosis of tooth root cracks in asymmetric spur gear pairs with a one-dimensional convolutional neural network;Mechanism and Machine Theory;2024-10
3. A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis;Engineering Applications of Artificial Intelligence;2024-10
4. Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery;Engineering Applications of Artificial Intelligence;2024-08
5. A numerical simulation enhanced multi-task integrated learning network for fault detection in rotation vector reducers;Mechanical Systems and Signal Processing;2024-08
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