Predictive maintenance for offshore oil wells by means of deep learning features extraction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predictive maintenance for offshore oil wells by means of deep learning features extraction

Published:2022-08-25 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Gatta Federico¹^ORCID,Giampaolo Fabio¹,Chiaro Diletta¹,Piccialli Francesco¹

Affiliation:

1. Department of Mathematics and Applications "R. Caccioppoli" University of Naples Federico II Naples Italy

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13128

Reference52 articles.

1. Condition Monitoring Based on Thermodynamic Efficiency Method for an Axial Piston Pump

2. A biased random-key genetic algorithm for the two-stage capacitated facility location problem

3. A biased random-key genetic algorithm for the set orienteering problem

4. Carvalho B. G. Vargas R. E. V. Salgado R. M. Munaro C. J. &Varejão F. M.(2021)Hyperparameter tuning and feature selection for improving flow instability detection in offshore oil wells. In2021 IEEE 19th International Conference on Industrial Informatics (INDIN)(pp. 1–6). IEEE.

Cited by 8 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. Oil and gas flow anomaly detection on offshore naturally flowing wells using deep neural networks;Geoenergy Science and Engineering;2024-11

2. A Review of Predictive Analytics Models in the Oil and Gas Industries;Sensors;2024-06-20

3. Development of Oilwell Fault Classifiers Using a Wavelet-Based Multivariable Approach in a Modular Architecture;SPE Journal;2024-06-13

4. A Critical Insight and Evaluation of AI Models for Predictive Maintenance under Industry 4.0;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

5. Recent trends and advances in machine learning challenges and applications for industry 4.0;Expert Systems;2023-12-09

同舟云学术

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