Detection of Industrial Motor Fault using Signal Processing Algorithms
Author:
Affiliation:
1. National Institute of Technology,EE Engg. Dept.,Mangalore,Karnataka,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10474598/10474599/10474877.pdf?arnumber=10474877
Reference13 articles.
1. Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review
2. IEC 60034–14 Rotating Electrical Machines-Part 14: Mechanical Vibration of Certain Machines with Shaft Heights 56 mm and Higher-Measurement;Evaluation and Limits of Vibration Severity,2007
3. ISO 10816–3 (International Organization of Standardization), Mechanical vibration - Evaluation of machine vibration by measurements on nonrotating parts - Part 3;Industrial machines with nominal power above 15 kW and nominal speeds between 120 r/min and,2009
4. Online Unbalanced Rotor Fault Detection of an IM Drive Based on Both Time and Frequency Domain Analyses
5. Assessment of the Reliability of Motors in Utility Applications - Updated
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