A composite quantile regression long short-term memory network with group lasso for wind turbine anomaly detection
Author:
Funder
Key Research and Development Program of Anhui Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04484-7.pdf
Reference39 articles.
1. Cambron P, Masson C, Tahan A, Pelletier F (2018) Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average. Renew Energy 116:88–98
2. Cannon AJ (2011) Quantile regression neural networks: implementation in R and application to precipitation downscaling. Comput Geosci 37(9):1277–1284
3. Chan CW, Hua S, Hong-Yue Z (2006) Application of fully decoupled parity equation in fault detection and identification of DC motors. IEEE Trans Indust Electron 53(4):1277–1284
4. Chen H, Hsu JY, Hsieh JY, Hsu HY, Chang CH, Lin YJ (2021) Predictive maintenance of abnormal wind turbine events by using machine learning based on condition monitoring for anomaly detection. J Mech Sci Technol 35(12):5323–5333
5. Devarajan G, Chinnusamy M, Kaliappan L (2021) Detection and classification of mechanical faults of three phase induction motor via pixels analysis of thermal image and adaptive neuro-fuzzy inference system. J Ambient Intell Humaniz Comput 12(5):4619–4630
Cited by 6 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. Remaining useful life prediction based on time-series features and conformalized quantile regression;Measurement Science and Technology;2024-09-13
2. Longitudinal tear detection method for conveyor belt based on multi-mode fusion;Wireless Networks;2024-03-13
3. A study on building awareness in cyber security for educational system in India using interpretive structural modellings;International Journal of System Assurance Engineering and Management;2024-02-29
4. A sparrow search algorithm-optimized convolutional neural network for imbalanced data classification using synthetic minority over-sampling technique;Physica Scripta;2023-10-12
5. A Computational Model for Predicting Customer Behaviors Using Transformer Adapted with Tabular Features;International Journal of Computational Intelligence Systems;2023-08-08
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