Noise measurement diagnostics for large electric machines

J. Karel, František Monhart
{"title":"Noise measurement diagnostics for large electric machines","authors":"J. Karel, František Monhart","doi":"10.1109/DIAGNOSTIKA.2018.8526098","DOIUrl":null,"url":null,"abstract":"The paper describes a non-destructive diagnostic method primarily intended for large rotating machines and transformers. The method is based on the assumption that the emitted noise is characteristic of the mechanical condition of the machine concerned. On the theoretical side, subject to analysis have been the electric machine noise sources and their mathematical description. In practical situations, the noise signals are picked from sound field of the machine. A critical review of the strong points and weak spots of noise diagnostics is presented, as well as the prospects for practical utilization of the method based on noise measurement and analysis.","PeriodicalId":211666,"journal":{"name":"2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","volume":"1972 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DIAGNOSTIKA.2018.8526098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The paper describes a non-destructive diagnostic method primarily intended for large rotating machines and transformers. The method is based on the assumption that the emitted noise is characteristic of the mechanical condition of the machine concerned. On the theoretical side, subject to analysis have been the electric machine noise sources and their mathematical description. In practical situations, the noise signals are picked from sound field of the machine. A critical review of the strong points and weak spots of noise diagnostics is presented, as well as the prospects for practical utilization of the method based on noise measurement and analysis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大型电机噪声测量诊断
本文介绍了一种主要用于大型旋转机械和变压器的无损诊断方法。该方法是基于这样一个假设,即所发出的噪声是有关机器的机械状况的特征。在理论方面,本文主要分析了电机噪声源及其数学描述。在实际情况下,噪声信号是从机器的声场中提取的。本文综述了噪声诊断的优缺点,并对基于噪声测量和分析的噪声诊断方法的实际应用进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analyzing the health condition and chemical degradation in field aged transformer insulation oil using spectroscopic techniques Review and Implementation of Transformer Health Index Methods in line with the Development of a Condition Assessment Tool Influence of Increased Voltage on the Characteristics of Printed Circuit Board Protective Coatings Market-driven flexibility of grid usage and network-oriented load balancing Stator Winding Insulation Diagnosis by Very Low Frequency Techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1