Fault diagnosis method for spherical roller bearing of wind turbine based on variational mode decomposition and singular value decomposition
Author:
Publisher
JVE International Ltd.
Subject
Mechanical Engineering,General Materials Science
Link
http://www.jvejournals.com/Vibro/fulltextpdf/JVE-16553.pdf
Reference6 articles.
1. An Xueli, Jiang Dongxiang, Chen Jie, Liu Chao Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing. Journal of Vibration and Control, Vol. 18, Issue 2, 2012, p. 240-245.
2. An Xueli, Jiang Dongxiang, Li Shaohua, Zhao Minghao Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine. Energy, Vol. 36, Issue 9, 2011, p. 5508-5520.
3. Dragomiretskiy K., Zosso D. Variational Mode Decomposition. IEEE Transactions on Signal Processing, Vol. 62, Issue 3, 2014, p. 531-544.
4. Wang Zhipeng, Lu Chen, Wang Zili, et al. Fault diagnosis and health assessment for bearings using the Mahalanobis-Taguchi system based on EMD-SVD. Transactions of the Institute of Measurement and Control, Vol. 35, Issue 6, 2013, p. 798-807.
5. Li Limin, Wang Zhongsheng, Jiang Hongkai Storage battery remaining useful life prognosis using improved unscented particle filter. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Vol. 229, Issue 1, 2015, p. 52-61.
Cited by 7 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. Recent Advancements in Fault Diagnosis of Spherical Roller Bearing: A Short Review;Journal of Vibration Engineering & Technologies;2024-03-21
2. Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine;Advances in Materials Science and Engineering;2022-05-18
3. Fault Diagnosis of Induction Motors Under Untrained Loads With a Feature Adaptation and Improved Broad Learning Framework;IEEE/ASME Transactions on Mechatronics;2022
4. Fault Diagnosis of Hydraulic Generator Bearing by VMD-Based Feature Extraction and Classification;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2021-04-12
5. Artificial Intelligence-based Technique for Fault Detection and Diagnosis of EV Motors: A Review;IEEE Transactions on Transportation Electrification;2021
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