期刊文献+

基于时域同步平均法的行星齿轮振动信号分离技术 被引量:4

Planetary Gear Signal Acquisition Technology Based on Time-Domain Synchronous Average Method
在线阅读 下载PDF
导出
摘要 基于某个特定的行星齿轮转过最小圈数后回到起始点这一特性,提出一种基于时域同步平均法的振动信号分离技术。由于实验采样时间较短,为了更快获取数据,根据行星齿轮啮合信号形状和齿宽,以及能量泄露小的特点,提出选择合适的窗函数—Tukeywin函数对信号进行加窗截取。选取窗宽为行星齿信号的一个齿宽,利用时域同步平均法对加窗信号进行相加平均,可提取到完整的行星齿轮信号。实验结果与对比分析表明,该方法简单且行之有效。 The minimum number of turns was based on a particular planetary gear turned back to the starting point of this feature, a method of vibration signal separation technology was proposed, that was based on time--domain synchronous average. The method needed to get data faster because of short sampling time, so a right window function to extract signals was chosen. According to the characteristics of meshing signals, such as the shape of meshing signals, tooth width and its energy leak, the paper selected Tukeywin function and made sure the selected window width equal to the tooth width of the meshing signals. Time--domain synchronous average can extract complete signals of the planetary gear teeth through Tukeywin function after averaging signals. The experimental re- sults and contrast show that this method is simple and effective.
机构地区 南昌航空大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2013年第6期787-791,共5页 China Mechanical Engineering
基金 航空科学基金资助项目(2010ZD56011) 南昌航空大学科技创新团队资助项目(EB200906296)
关键词 行星齿轮 故障诊断 时域同步平均 倒频谱 planetary gear fault diagnosis time-domain synchronous average cepstrum
  • 相关文献

参考文献6

  • 1Dong M, He D, Banerjee P, et al. Equipment Health Diagnosis and Prognosis Using Hidden Semi- markov Models[J]. Int. J. Adv. Manuf. Technol. , 2006,30:738-749.
  • 2Samuel P D,Pines D J. Classifying Helicopter Gear- box Faults Using a Normalized Energy Metric[J]. Smart Material and Structures, 2001,10 : 145-153.
  • 3Blunt D M. Synchronous Averaging Epicyclic Sun Gear Vibration.. US, 6898975 B2[P]. 2005-05-31.
  • 4McNames J. Fourier Series Analysis of Epicyclie Gearbox Vibration [J ]. Journal of Vibration and Acoustics,2002,124 : 150-153.
  • 5Samuel P D, Conroy J K, Pines D J. Planetary Transmission Diagnostics [R]. Mary Land: NASA Glenn Research Centre,2004.
  • 6Smith M R. Internal Vibration Monitoring of A P Lanetary Gearbox[D]. Pretoria:University of Preto- ria,2009.

同被引文献24

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部