An adaptive morphological filtering and feature enhancement method for spindle motor bearing fault diagnosis
Author:
Publisher
Elsevier BV
Subject
Acoustics and Ultrasonics
Reference39 articles.
1. Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review;Gangsar;Mech. Syst. Sig. Process.,2020
2. Feature extraction based on semi-supervised kernel Marginal Fisher analysis and its application in bearing fault diagnosis;Jiang;Mech. Syst. Sig. Process.,2013
3. A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings;Liu;Meas J Int Meas Confed,2020
4. Extended kalman filtering for remaining-useful-life estimation of bearings;Singleton;IEEE Trans. Ind. Electron.,2015
5. A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings;Wang;Energy Rep.,2020
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. Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions;Advanced Engineering Informatics;2024-08
2. Research on a Fault Feature Extraction Method for an Electric Multiple Unit Axle-Box Bearing Based on a Resonance-Based Sparse Signal Decomposition and Variational Mode Decomposition Method Based on the Sparrow Search Algorithm;Sensors;2024-07-17
3. DARTS-based morphological neural network design and application in bearing fault diagnosis;Measurement;2024-07
4. Adaptive feature extraction of underwater target signal based on mathematical morphology feature enhancement;Journal of Vibration and Control;2024-06-19
5. Application of an Improved Laplacian-of-Gaussian Filter for Bearing Fault Signal Enhancement of Motors;Machines;2024-06-05
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