基于参数化时频分析的转子全工况动平衡方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH17

基金项目:

(国家自然科学基金资助项目(51421004,51365051);教育部新世纪优秀人才支持计划资助项目(NCET-13-0461);科技支疆资助项目(2013911032);新疆维吾尔自治区基金资助项目(2015211C256)


Balancing Under All Working Conditions of Rotor Based on Parameterized Time-Frequency Analysis
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对现有转子动平衡方法处理非平稳数据的不足,提出了基于参数化时频分析的转子全工况动平衡方法。该方法根据转频信号频率变化函数构造匹配的旋转算子,将启车信号的时频特征进行旋转,准确提取出转频分量。通过添加试重,结合全息动平衡方法获得各个转速下的迁移矩阵,实现转子全工况的动平衡,避免了传统动平衡方法需要获取稳态数据的缺点。实验结果表明,该方法可以方便、快捷地确定出转子的失衡量和失衡方位,有效降低转子系统不平衡振动,同时减少平衡过程中的启车次数。

    Abstract:

    Effectively controlling the vibration amplitude in the rotor system startup process under different speeds is an important measure to ensure the safe operation of rotor systems, whereas the traditional rotor balancing method is based on steady-state response of the rotor with lower frequency of balancing. In light of the shortage of current rotor balancing methods for processing non-stationary data, we proposed a new rotor balancing method under all working conditions that is based on parameterized time-frequency analysis. According to the method, we constructed an appropriate rotation operator based on the rotating frequency and rotated the time-frequency characteristics of the startup signal, which accurately extracted the rotating frequency component. By adding the trial weight and obtaining the transfer matrix under various speeds by means of holobalancing, we achieved rotor balancing under all operating conditions, thus avoiding the shortcoming of the traditional rotor balancing method. Experimental results showed that this method easily and quickly determined the unbalanced weight and unbalanced rotor angle, reduced unbalanced vibration of the rotor system, and shortened the start-times in the balancing process.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2017-07-05
  • 出版日期:
您是第位访问者
振动、测试与诊断 ® 2024 版权所有
技术支持:北京勤云科技发展有限公司