关键字
协会热线:029-84276641
            首页微电机期刊
 
  综述
  伺服与控制
  设计与研究
  专题讲座
  检测技术
  工艺技术
  经验交流
  实用技术
  读者园地
  技术交流
  使用与维护
  标准评述
  工艺与装备
  驱动与控制
  应用研究
  测试研究
  精品连载
 
标题:基于小波变换的旋转变压器准实时故障诊断探究
作者:朱光起,徐永向,刘承军
2013年第6期 访问次数:222次

摘要:针对基于旋转变压器的位置检测器中位置输出信号受噪声污染影响永磁同步电机系统性能的问题进行研究。在分析位置信号受污染对控制系统性能的影响和小波算法原理的基础上,采用准实时小波算法,对旋转变压器输出的位置信号进行降噪处理和故障诊断,仿真结果表明:采用准实时小波算法,能够在一定程度上降低系统噪声,并能够精确检测出系统的故障信息,实现对故障特性的提取和定位,进而提高了系统的控制精度、安全性和可靠性。基于小波变换的旋转变压器准实时降噪和故障诊断算法的研究对于发展高精度和高可靠性的精密测试转台具有深远的意义。

关键词:旋转变压器;小波变换;准实时降噪;准实时故障诊断
Abstract: The performance of permanent magnet synchronous motor (PMSM) was studied when the position output signal of the position detector based on resolver was polluted by noise. Based on the analysis of the performance of the control system when the position signal was polluted and the principal of Wavelet arithmetic theory, quasi realtime Wavelet arithmetic was adopted to denoise and detect fault the output position signal of the resolver. The simulation results showed that the noise could be effectively reduced and the fault information could be accurately detected and recognized when the quasi realtime Wavelet arithmetic was adopted in the control system, which further improved the control precision, safety and reliability of the control system. The research on quasi realtime denoising and fault detection of resolver based on Wavelet transform has a profound effect on the development of high resolution and high reliability precision test turntable.

Key words: resolver; wavelet transform; quasi realtime denoising; quasi realtime fault detection

 

 
 
 
    广告服务 |   商务合作 |   使用帮助 |   网站地图 |     主办:中国电器工业协会微电机分会      挂靠:西安微电机研究所有限公司      地址:西安市高新区上林苑四路36号(710117)
   copyright © www.china-micromotor.com.cn all rights reserved.     版权所有:微电机网     陕ICP备05005551号-2
 

西安微电机研究所有限公司公众平台
二维码

《微电机》杂志公众平台二维码