Impact Feature Extraction of Gear System Caused by Backlash based on Gammatone Filters

Gao Hongbo; Li Yungong; Yu Lianghui; Liu Jie

doi:10.16578/j.issn.1004.2539.2015.03.010

您当前的位置：

首页 >

文章列表页 >

Impact Feature Extraction of Gear System Caused by Backlash based on Gammatone Filters

更新时间：2022-10-20

- Impact Feature Extraction of Gear System Caused by Backlash based on Gammatone Filters
- Vol. 39, Issue 3, Pages: 23-26(2015)
- 作者机构：
  
  1. 东北大学机械工程与自动化学院
  2. 辽宁省交通高等专科学校机电工程系
  3. 潍柴动力股份有限公司技术中心
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2015.03.010
  CLC：
扫描看全文
[1]高洪波,李允公,于良会,刘杰.基于Gammatone滤波器组的齿轮系统侧隙诱发冲击特征提取[J].机械传动,2015,39(03):23-26.

Gao Hongbo, Li Yungong, Yu Lianghui, et al. Impact Feature Extraction of Gear System Caused by Backlash based on Gammatone Filters. [J]. 39(3):23-26(2015)
[1]高洪波,李允公,于良会,刘杰.基于Gammatone滤波器组的齿轮系统侧隙诱发冲击特征提取[J].机械传动,2015,39(03):23-26. DOI： 10.16578/j.issn.1004.2539.2015.03.010.

Gao Hongbo, Li Yungong, Yu Lianghui, et al. Impact Feature Extraction of Gear System Caused by Backlash based on Gammatone Filters. [J]. 39(3):23-26(2015) DOI： 10.16578/j.issn.1004.2539.2015.03.010.

摘要

齿侧间隙会引发齿间啮合冲击,影响齿轮传动的平稳性和可靠性。为了对故障冲击成分进行提取,提出了基于Gammatone滤波器组的特征提取方法。该方法借鉴听觉系统复杂语音信号识别过程中耳蜗基底膜的信号处理思想,采用与基底膜冲击响应、幅频特性相似的Gammatone滤波器组模型对齿轮系统故障信号进行时频分析,进而提取冲击特征。研究结果表明:Gammatone滤波器组具有对齿轮系统的非平稳瞬变振动信号进行时频分析的功能,该方法能够有效提取由于齿侧间隙引起的啮合冲击故障特征。

Abstract

The meshing impact caused by backlash has great effect on the stability and reliability of gear transmission.To acquire the impact component from the fault signals of gear system,a feature extraction method based on Gammatone filters is proposed.By using signal processing function of human basilar membrane in the complex speech recognition process for reference,the Gammatone filters is used for time-frequency analysis of fault signals according to their similarity in impulse response and amplitude-frequency,and further to extract the impact feature.Research results show the time-frequency analysis ability of Gammatone filters to the non-stationary transient vibration signals of the gear system and the effective feature extraction ability of the proposed method.

关键词

Gammatone滤波器组特征提取冲击响应齿轮系统齿侧间隙

Keywords

references

Views

122

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Effect of Gear Backlash Function on the Dynamics Characteristic of Helical Gear

Simulation Analysis of Dynamic Contact of Gear System based on Dynamic Relaxation Method

Dimensional Chain and Dynamics Analysis of the Gear System with Backlash based on CETOL

Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm

Research of the Fault Feature Extraction of Rolling Bearing based on Image Processing

Related Author

No data

Related Institution

School of Mechatronic Engineering,Lanzhou Jiaotong University

Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology

School of Mechatronic Engineering and Automation,Shanghai University

College of Mechanical and Power Engineering ,North University of China

School of Transportation Science and Engineering,Beihang University

⁰