Diagnosis of stator faults of the single-phase induction motor using acoustic signals
Author:
Funder
AGH University of Science and Technology
Publisher
Elsevier BV
Subject
Acoustics and Ultrasonics
Reference51 articles.
1. Trends in fault diagnosis for electrical machines a review of diagnostic techniques;Henao;IEEE Ind Electron Mag,2014
2. Discriminant feature distribution analysis-based hybrid feature selection for online bearing fault diagnosis in induction motors;Islam;J Sens,2016
3. Support vector machine based bearing fault diagnosis for induction motors using vibration signals;Hwang;J Elect Eng Technol,2015
4. Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors;Ciszewski;Insight-Non-Destruct Test Cond Monitor,2016
5. The method of current measurement in the rotor cage bars of prototype induction motor with the use of Rogowski coils;Sulowicz,2015
Cited by 92 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. Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients;Digital Signal Processing;2024-09
2. A lightweight complex-domain acoustic feature extraction method for rotating machinery fault detection;Measurement Science and Technology;2024-06-28
3. Exploring the potential of smartphone MEMS sensors for cost-effective rotating machinery speed estimation;Sensor Review;2024-03-26
4. Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review;Expert Systems with Applications;2024-03
5. Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey;Open Physics;2024-01-01
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