An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-009-0356-9.pdf
Reference25 articles.
1. Banjevic D., Jardine A. K. S., Makis V. (2001) A control-limit policy and software for condition-based maintenance optimization. INFOR 39: 32–50
2. Dong M., He D. (2007a) A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology. Mechanical Systems and Signal Processing 21(5): 2248–2266
3. Dong M., He D. (2007b) Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis. European Journal of Operational Research 178(3): 858–878
4. Dong M., He D., Banerjee P., Keller J. (2006) Equipment health diagnosis and prognosis using hidden semi-Markov models. International Journal of Advanced Manufacturing Technology 30(7–8): 738–749
5. Gebraeel N., Lawley M. A. (2008) A neural network degradation model for computing and updating residual life distributions. IEEE Transactions on Automation Science and Engineering 5(1): 154–163
Cited by 263 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. Application of Artificial Intelligence-Based Technique in Electric Motors: A Review;IEEE Transactions on Power Electronics;2024-10
2. A multi-channel fusion variational autoencoder-based RUL prediction approach for multi-sensor systems;Measurement Science and Technology;2024-08-14
3. Few-shot RUL prediction for engines based on CNN-GRU model;Scientific Reports;2024-07-11
4. A HAZOP of dust explosion testing and explosibility modelling using artificial neural networks;The Canadian Journal of Chemical Engineering;2024-06-26
5. Predictive Modeling of Wettability Characteristics in Developed Shielded Metal Arc Welding Electrode Coating Fluxes: A Regression and Artificial Neural Network Approach;Metallurgical and Materials Transactions B;2024-06-21
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