基于双树复小波的齿轮副裂纹故障检测方法

王天阳; 陶学恒; 代鹏; 冉海风

doi:10.16578/j.issn.1004.2539.2022.10.022

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基于双树复小波的齿轮副裂纹故障检测方法

开发应用 | 更新时间：2022-11-05

- 基于双树复小波的齿轮副裂纹故障检测方法
- Detection of the Gear Pair with Crack Defects Based on Double-tree Complex Wavelet
- 机械传动 2022年46卷第10期页码：142-148
- 作者机构：
  
  1.大连工业大学机械工程与自动化学院，辽宁大连 116034
  2.安徽工程大学机械与汽车工程学院，安徽芜湖 241000
- 作者简介：
  
  王天阳（1998— ），男，辽宁沈阳人，硕士研究生；研究方向为多信息融合与感知技术。
  陶学恒（1963— ），男，北京人，博士，教授；研究方向为自动化装备控制系统的设计。
- 基金信息：
  
  安徽省重点研究与开发计划项目(202104a05020003)
- DOI：10.16578/j.issn.1004.2539.2022.10.022
  中图分类号：
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王天阳,陶学恒,代鹏等.基于双树复小波的齿轮副裂纹故障检测方法[J].机械传动,2022,46(10):142-148.

Wang Tianyang,Tao Xueheng,Dai Peng,et al.Detection of the Gear Pair with Crack Defects Based on Double-tree Complex Wavelet[J].Journal of Mechanical Transmission,2022,46(10):142-148.
王天阳,陶学恒,代鹏等.基于双树复小波的齿轮副裂纹故障检测方法[J].机械传动,2022,46(10):142-148. DOI： 10.16578/j.issn.1004.2539.2022.10.022.

Wang Tianyang,Tao Xueheng,Dai Peng,et al.Detection of the Gear Pair with Crack Defects Based on Double-tree Complex Wavelet[J].Journal of Mechanical Transmission,2022,46(10):142-148. DOI： 10.16578/j.issn.1004.2539.2022.10.022.

摘要

圆柱直齿轮副是机械装置中常用的关键传动部件，常因齿面的周期性载荷和疲劳磨损出现齿根裂纹故障，导致齿轮副振动和噪声增大，严重影响机械系统的工作性能，需要及时检测。但齿轮副的工作环境存在随机振动和白噪声等因素，易使齿轮副的振动频谱中出现杂频，淹没故障信号，不利于对齿轮副裂纹故障的识别。针对齿轮副齿根裂纹故障的振动信号，采用小波变换对信号进行分解与重构；建立基于双树复小波的降噪模型，实现对振动信号的有效降噪，形成了齿轮副裂纹故障检测方法。实验验证表明，该方法的降噪效果优于常用的硬阈值函数小波降噪和软阈值函数小波降噪算法，可较为准确地判断出齿轮箱的故障类型，为圆柱直齿轮副的状态判别提供科学依据。

Abstract

Cylindrical spur gear pair is a commonly used key transmission part in the modern machinery industry. Root cracks often occur due to the periodic load and fatigue wear of the tooth surface. As a result, the vibration and noise of the gear pair are increased, which seriously affect the working performance of the mechanical system and need to be detected in time. However, there are factors such as random vibration and white noise in the working environment of the gear pair, so that the noise is generated in the vibration spectrum of the gear pair, and the defect frequency is submerged, which is not conducive to the identification of the crack defect of the gear pair. For the vibration signal of the gear pair with crack defects, wavelet transform is used to decompose and reconstruct the signal, and the noise reduction model based on double-tree complex wavelet is established to realize the effective noise reduction of the vibration signal and form a gear pair crack defect detection method. The experiment results show the noise reduction effect of this method is better than the commonly used hard threshold function wavelet noise reduction and the soft threshold function wavelet noise reduction algorithms, the defect type of the gear piar can be judged more accurately using this method and it provides a scientific basis for judging the state of the cylindrical spur gear pair.

关键词

直齿轮副齿根裂纹信号降噪双树复小波故障诊断

Keywords

Spur gear pairRoot crack defectsSignal noise reductionDouble-tree complex waveletDefect diagnosis

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