›› 2016, Vol. 29 ›› Issue (11): 65-.

• 论文 • 上一篇    下一篇

基于小波分析的蜗轮蜗杆减速器故障诊断系统

杨勇明   

  1. (上海理工大学 公共实验中心,上海200093)
  • 出版日期:2016-11-15 发布日期:2016-11-24
  • 作者简介:杨勇明(1986-),男,硕士,工程师。研究方向:机器人技术及机电一体化技术。
  • 基金资助:

    上海市自然科学基金资助项目(12ZR1420700);上海市高校青年教师培养资助计划基金资助项目(1014204803)

Study on Fault Diagnosis System of Worm-gear Reducer Based on Wavelet Analysis

YANG Yongming   

  1. (Public Experiment Center, University of Shanghai for Science and Technology, Shanghai 200093,China)
  • Online:2016-11-15 Published:2016-11-24

摘要:

随着蜗轮蜗杆减速器的广泛应用,其故障类型表现为复杂化和隐蔽化,这不仅会带来巨大的经济损失,甚至威胁工人的生命安全。为解决这一问题,提出了基于小波分析的蜗轮蜗杆减速器故障诊断系统,系统在模拟减速器真实工作情况的基础上,采用LabView编写故障诊断系统,实现对振动信号进行采集与显示、小波分析以及离线故障诊断,实验结果表明,文中提出基于小波分析的蜗轮蜗杆减速器故障诊断系统,能够较好地实现蜗轮蜗杆减速器故障的实时诊断,适用于蜗轮蜗杆减速器技术研究和安全应用等领域。

关键词: 故障诊断, 小波分析, 振动信号, LabVIEW

Abstract:

With wide application of worm-gear reducer, the fault type is complicated and concealed, which not only bring huge economic losses, and even a threat to the safety of workers. in order to solve the problems, this paper put forward a fault diagnosis system of worm-gear reducer based on wavelet analysis, which base on real work situation, develop fault diagnosis system by adopting LabVIEW language, achieve vibration signal for acquisition and display, wavelet analysis and off-line fault diagnosis, experimental results show that the fault diagnosis system of worm-gear reducer based on wavelet analysis can better realize the worm-gear reducer fault diagnosis, so can be used in the field of technology research and safety using.

Key words: fault diagnosis, wavelet analysis, vibration signal, LabVIEW

中图分类号: 

  • TP274.2