A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference85 articles.
1. An overview of time-based and condition-based maintenance in industrial application;Ahmad;Comput. Ind. Eng.,2012
2. Fast multiclass SVM classification using decision tree based one-against-all method;Arun Kumar;Neural Process Lett,2010
3. A new time–frequency method for identification and classification of ball bearing faults;Attoui;J. Sound Vib.,2017
4. Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network;Ben Ali;Mech. Syst. Signal Process.,2015
5. Predictive Maintenance Through the Monitoring and Diagnostics of Rolling Element Bearings;Bently,1989
Cited by 88 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. Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions;Measurement;2025-02
2. Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review;Journal of Sensor and Actuator Networks;2024-09-04
3. Prediction maintenance based on vibration analysis and deep learning — A case study of a drying press supported on a Hidden Markov Model;Applied Soft Computing;2024-09
4. Wedge angle and orientation recognition of multi-opening objects using an attention-based CNN model;Optics Express;2024-08-08
5. Fault diagnosis of high-speed motorized spindles based on lumped parameter model and enhanced transfer learning;Structural Health Monitoring;2024-07-24
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