基于改进型峰值搜索法的变速箱振动阶比分析
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH113.1

基金项目:

(国家重点研发计划资助项目(2018YFB0106203);国家自然科学基金资助项目(51205158)


Order Tracking of Automobile Gearbox in Acceleration Condition Based on Improved Peak Search Algorithm
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:

    基于传统内燃机汽车发动机引起振动噪声阶次特征明显的特点,运用短时傅里叶变换(short-time Fourier transform,简称STFT)进行转速估计,结合阶次追踪法,对汽车加速工况变速器振动信号进行阶次分析。首先,利用STFT对加速工况变速箱振动信号进行时频分析;其次,利用改进型峰值搜索法提取特征阶次所对应的瞬时频率值,进一步计算得到发动机转速信号表达式;然后,根据发动机转速信号表达式对振动信号在角域重采样,进行阶次分析;最后,利用本研究方法对变速箱加速过程振动信号进行阶次分析,并与商用软件LMS.Test.lab分析结果进行对比。结果表明,本研究方法无需布置转速传感器即可对变速箱振动信号进行阶次分析,为整车振动噪声试验分析提供参考。

    Abstract:

    Based on the characteristics of the vibration and noise order caused by the engine of the traditional internal combustion engine car, speed estimation using short-time Fourier transform (STFT), combined order tracking, order analysis of vibration signals of vehicle acceleration working conditions. Firstly, time-frequency analysis of transmission vibration signals in accelerated conditions using STFT. Secondly, the improved peak value method is used to extract the instantaneous frequency value corresponding to the feature order, and calculate the engine speed signal expression. Then, according to the engine speed signal expression, the vibration signal is re-sampled in the angular domain to perform angle analysis. Finally, the method of this paper is used to analyze the vibration signal of the gearbox acceleration process, and compared with the analysis results of the commercial software LMS.Test.lab, which proves that the method is feasible, and the vibration signal of the gearbox can be carried out without arranging the speed sensor. The order analysis provides a reference for the analysis of the vibration and noise order tracking test of the whole vehicle.

    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: 2020-12-25
  • 出版日期: 2020-12-30
您是第位访问者
振动、测试与诊断 ® 2025 版权所有
技术支持:北京勤云科技发展有限公司