• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

信号注入作为一种故障检测技术。

Signal injection as a fault detection technique.

机构信息

MCIA Research Group, Universitat Politècnica de Catalunya, C. Colom 1, Terrassa, 08222 Catalunya, Spain.

出版信息

Sensors (Basel). 2011;11(3):3356-80. doi: 10.3390/s110303356. Epub 2011 Mar 21.

DOI:10.3390/s110303356
PMID:22163801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231603/
Abstract

Double frequency tests are used for evaluating stator windings and analyzing the temperature. Likewise, signal injection on induction machines is used on sensorless motor control fields to find out the rotor position. Motor Current Signature Analysis (MCSA), which focuses on the spectral analysis of stator current, is the most widely used method for identifying faults in induction motors. Motor faults such as broken rotor bars, bearing damage and eccentricity of the rotor axis can be detected. However, the method presents some problems at low speed and low torque, mainly due to the proximity between the frequencies to be detected and the small amplitude of the resulting harmonics. This paper proposes the injection of an additional voltage into the machine being tested at a frequency different from the fundamental one, and then studying the resulting harmonics around the new frequencies appearing due to the composition between injected and main frequencies.

摘要

双频测试用于评估定子绕组和分析温度。同样,感应电机上的信号注入也用于无传感器电机控制领域,以找出转子位置。电机电流特征分析(MCSA)侧重于定子电流的频谱分析,是识别感应电机故障最广泛使用的方法。可以检测到电机故障,如转子断条、轴承损坏和转子轴偏心等。然而,该方法在低速和低转矩时存在一些问题,主要是由于待检测频率与产生的谐波的小幅度之间的接近。本文提出在与基频不同的频率下向被测电机注入附加电压,然后研究由于注入频率和主频率之间的组合而在新频率周围出现的谐波。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/c1a17e5edaf0/sensors-11-03356f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/b59c50455cbb/sensors-11-03356f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/0b3c57266d24/sensors-11-03356f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/cc6c1eb98101/sensors-11-03356f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/4f0039e728d3/sensors-11-03356f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/8db6e1feaea9/sensors-11-03356f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/b96b987e31a0/sensors-11-03356f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/f82b6c1b898c/sensors-11-03356f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3eda735e2838/sensors-11-03356f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/2d3240362963/sensors-11-03356f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/40e50d4c0a72/sensors-11-03356f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d22f321af2a3/sensors-11-03356f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/299248d313f3/sensors-11-03356f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d86cb3d995f8/sensors-11-03356f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/c7ecae978b9b/sensors-11-03356f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d8c65f8028db/sensors-11-03356f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/be44baf4167b/sensors-11-03356f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3f4f7978ce42/sensors-11-03356f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/0f02f1a3a481/sensors-11-03356f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/4959116fc8dd/sensors-11-03356f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/8ead0edffce7/sensors-11-03356f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3f953071f5d2/sensors-11-03356f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d75eec821f38/sensors-11-03356f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/c1a17e5edaf0/sensors-11-03356f23.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/b59c50455cbb/sensors-11-03356f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/0b3c57266d24/sensors-11-03356f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/cc6c1eb98101/sensors-11-03356f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/4f0039e728d3/sensors-11-03356f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/8db6e1feaea9/sensors-11-03356f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/b96b987e31a0/sensors-11-03356f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/f82b6c1b898c/sensors-11-03356f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3eda735e2838/sensors-11-03356f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/2d3240362963/sensors-11-03356f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/40e50d4c0a72/sensors-11-03356f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d22f321af2a3/sensors-11-03356f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/299248d313f3/sensors-11-03356f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d86cb3d995f8/sensors-11-03356f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/c7ecae978b9b/sensors-11-03356f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d8c65f8028db/sensors-11-03356f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/be44baf4167b/sensors-11-03356f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3f4f7978ce42/sensors-11-03356f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/0f02f1a3a481/sensors-11-03356f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/4959116fc8dd/sensors-11-03356f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/8ead0edffce7/sensors-11-03356f20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/3f953071f5d2/sensors-11-03356f21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/d75eec821f38/sensors-11-03356f22.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac2/3231603/c1a17e5edaf0/sensors-11-03356f23.jpg

相似文献

1
Signal injection as a fault detection technique.信号注入作为一种故障检测技术。
Sensors (Basel). 2011;11(3):3356-80. doi: 10.3390/s110303356. Epub 2011 Mar 21.
2
Diagnosis of broken-bars fault in induction machines using higher order spectral analysis.基于高阶谱分析的感应电机断条故障诊断。
ISA Trans. 2013 Jan;52(1):140-8. doi: 10.1016/j.isatra.2012.08.003. Epub 2012 Sep 21.
3
Bispectrum of stator phase current for fault detection of induction motor.用于感应电机故障检测的定子相电流双谱
ISA Trans. 2009 Jul;48(3):378-82. doi: 10.1016/j.isatra.2009.03.002. Epub 2009 Apr 23.
4
Detection of broken rotor bar faults in induction motor at low load using neural network.基于神经网络的低负载感应电机转子断条故障检测
ISA Trans. 2016 Sep;64:241-246. doi: 10.1016/j.isatra.2016.06.004. Epub 2016 Jun 18.
5
Induction machine bearing faults detection based on a multi-dimensional MUSIC algorithm and maximum likelihood estimation.基于多维MUSIC算法和最大似然估计的感应电机轴承故障检测
ISA Trans. 2016 Jul;63:413-424. doi: 10.1016/j.isatra.2016.03.007. Epub 2016 Mar 30.
6
Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors.卷积神经网络和电机电流特征分析在感应电动机转子断条故障检测中的瞬态状态。
Sensors (Basel). 2020 Jul 3;20(13):3721. doi: 10.3390/s20133721.
7
Detection of stator winding faults in induction motors using three-phase current monitoring.基于三相电流监测的感应电动机定子绕组故障检测。
ISA Trans. 2011 Jan;50(1):14-20. doi: 10.1016/j.isatra.2010.10.008. Epub 2010 Nov 12.
8
Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive.离散小波变换和能量本征值在感应电机驱动变速磁场定向控制中的转子棒故障检测。
ISA Trans. 2018 Aug;79:217-231. doi: 10.1016/j.isatra.2018.04.019. Epub 2018 May 3.
9
Novel approach using Hilbert Transform for multiple broken rotor bars fault location detection for three phase induction motor.利用希尔伯特变换的新方法检测三相感应电动机的多根断条转子故障位置。
ISA Trans. 2018 Sep;80:439-457. doi: 10.1016/j.isatra.2018.07.020. Epub 2018 Aug 6.
10
Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis.快速傅里叶变换和离散小波变换应用于无传感器矢量控制感应电机转子导条故障诊断。
ISA Trans. 2014 Sep;53(5):1639-49. doi: 10.1016/j.isatra.2014.06.003. Epub 2014 Jul 5.

引用本文的文献

1
Induction Motor Stator Winding Inter-Tern Short Circuit Fault Detection Based on Start-Up Current Envelope Energy.基于启动电流包络能量的感应电动机定子绕组匝间短路故障检测
Sensors (Basel). 2023 Oct 19;23(20):8581. doi: 10.3390/s23208581.
2
Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis.基于多分类支持向量机的感应电机无传感器速度估计诊断。综述与商用设备分析。
Sensors (Basel). 2021 Jul 25;21(15):5037. doi: 10.3390/s21155037.
3
Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation.

本文引用的文献

1
A feature extraction method based on information theory for fault diagnosis of reciprocating machinery.基于信息理论的往复机械故障诊断特征提取方法。
Sensors (Basel). 2009;9(4):2415-36. doi: 10.3390/s90402415. Epub 2009 Apr 1.
2
Intelligent gearbox diagnosis methods based on SVM, wavelet lifting and RBR.基于 SVM、小波提升和 RBR 的智能变速箱诊断方法。
Sensors (Basel). 2010;10(5):4602-21. doi: 10.3390/s100504602. Epub 2010 May 4.
3
Non invasive sensors for monitoring the efficiency of AC electrical rotating machines.用于监测交流电机效率的非侵入式传感器。
基于参数估计的高速运行多极永磁同步电机匝间短路故障鲁棒诊断方法
Sensors (Basel). 2015 Nov 20;15(11):29452-66. doi: 10.3390/s151129452.
4
MOS-FET as a Current Sensor in Power Electronics Converters.金属氧化物半导体场效应晶体管作为电力电子变换器中的电流传感器
Sensors (Basel). 2015 Jul 24;15(8):18061-79. doi: 10.3390/s150818061.
5
Sequential fuzzy diagnosis method for motor roller bearing in variable operating conditions based on vibration analysis.基于振动分析的变工况下电机滚动轴承序贯模糊诊断方法。
Sensors (Basel). 2013 Jun 21;13(6):8013-41. doi: 10.3390/s130608013.
6
Sensor and sensorless fault tolerant control for induction motors using a wavelet index.基于小波指标的感应电动机的有传感器和无传感器容错控制。
Sensors (Basel). 2012;12(4):4031-50. doi: 10.3390/s120404031. Epub 2012 Mar 27.
Sensors (Basel). 2010;10(8):7874-95. doi: 10.3390/s100807874. Epub 2010 Aug 23.