CHARACTERISTIC FREQUENCY EXTRACTION FOR THE FAULT OF GEAR BROKEN TEETH BASED ON IHPS AND SPS

TAO JiuZhi; HUANG RunHua; MA WeiPing

doi:10.16579/j.issn.1001.9669.2019.06.006

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CHARACTERISTIC FREQUENCY EXTRACTION FOR THE FAULT OF GEAR BROKEN TEETH BASED ON IHPS AND SPS

更新时间：2022-09-22

- CHARACTERISTIC FREQUENCY EXTRACTION FOR THE FAULT OF GEAR BROKEN TEETH BASED ON IHPS AND SPS
- Journal of Mechanical Strength Vol. 41, Issue 6, Pages: 1304-1307(2019)
- 作者机构：
  
  1. 郑州机械研究所有限公司
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2019.06.006
  CLC：
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TAO JiuZhi, HUANG RunHua, MA WeiPing. CHARACTERISTIC FREQUENCY EXTRACTION FOR THE FAULT OF GEAR BROKEN TEETH BASED ON IHPS AND SPS. [J]. 41(6):1304-1307(2019)
DOI：

TAO JiuZhi, HUANG RunHua, MA WeiPing. CHARACTERISTIC FREQUENCY EXTRACTION FOR THE FAULT OF GEAR BROKEN TEETH BASED ON IHPS AND SPS. [J]. 41(6):1304-1307(2019) DOI： 10.16579/j.issn.1001.9669.2019.06.006.

摘要

针对齿轮断齿故障信号的特点,通过对原始振动信号进行傅里叶变换后计算其IHPS(Improved Harmonic Product Spectrum)及SPS(Sideband Product Spectrum),可在振动冲击信号不明显的情况下提取齿轮断齿故障特征频率。通过仿真分析和实验验证,证明了该方法的有效性,为早期诊断此类故障提供了可行途径。

Abstract

Regarding the vibration signal characteristics of gear with broken teeth,the fault characteristic frequency can be extracted by means of calculating IHPS（ Improved Harmonic Product Spectrum） and SPS（ Sideband Product Spectrum） after FFT when the vibration shock is not obvious. Verified by simulation analysis and experiment,the method is proved effective and can be a feasible path to early detection for such faults.

关键词

故障信号处理IHPSSPS齿轮断齿振动故障

Keywords

Fault signal processingIHPSSPSGear teeth brokenVibration fault

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