欢迎访问《兵工学报》官方网站,今天是 分享到:

兵工学报 ›› 2010, Vol. 31 ›› Issue (5): 646-649.

• 研究简报 • 上一篇    下一篇

基于盲源分离的齿轮箱复合故障诊断研究

田昊, 唐力伟, 田广   

  1. (军械工程学院 火炮工程系, 河北 石家庄 050003)
  • 收稿日期:2009-02-25 修回日期:2009-02-25 上线日期:2014-05-04
  • 通讯作者: 田昊 E-mail:tgok@163.com
  • 作者简介:田昊(1981—),男,博士研究生
  • 基金资助:
    国家自然科学基金资助项目(50775219)

Compound Fault Diagnosis for Gearbox Based on Blind Source Separation

TIAN Hao, TANG Li-wei, TIAN Guang   

  1. (Department of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, Hebei, China)
  • Received:2009-02-25 Revised:2009-02-25 Online:2014-05-04
  • Contact: TIAN Hao E-mail:tgok@163.com

摘要: 针对传统盲源分离(BSS)技术在处理非线性变化的复合故障信号时的不足,将核独立分量针对传统盲源分离(BSS)技术在处理非线性变化的复合故障信号时的不足,将核独立分量分析(KICA)技术应用于齿轮箱的状态检测与故障诊断。介绍了KICA的基本原理,进行了仿真说明。最后应用该方法并结合包络阶次谱分析对设置了2种故障的齿轮箱进行故障诊断,最终找到了故障特征,成功判别出了这2种故障,并验证了该方法的有效性。

关键词: 机械学, 齿轮箱, 故障诊断, 盲源分离, 复合故障,

Abstract: Aiming at the shortage of the blind source separation(BSS)in processing non-linear compound fault signals, the kernel independent component analysis(KICA)was used in the performance test and fault diagnosis for the gearbox. The principle of KICA was introduced and then illustrated with simulations. Finally,combined with envelope order spectrum analysis, this method was used to diagnose the gearbox with two types of faults. The fault characteristics were found out, and the faults were distinguished successfully.

Key words: mechanics, gearbox, fault diagnosis, blind source separation, compound fault, kernel independent component analysis

中图分类号: