噪声与振动控制

›› 2009, Vol. 29 ›› Issue (5): 62-65.DOI: 10.3969/j.issn.1006-1355.2009.05.017

• 论文 • 上一篇    下一篇

《基于谐波小波滤波的旋转机械故障诊断新方法》

王誉蓉1, 张波1, 朱学军1，张文斌2   

  1. （1. 宁夏大学机械工程学院， 银川750021；2. 浙江大学机械与能源工程学院， 杭州 310027）
  • 收稿日期:2009-03-26 修回日期:1900-01-01 出版日期:2009-10-18 发布日期:2009-10-18
  • 通讯作者: 王誉蓉

《New Method for Fault Diagnosis of Rotating MachinesBased on Harmonic Wavelet Filtering》

WANG Yu-rong1, ZHANG Bo1, ZHU Xue-jun1, ZHANG Wen-bin2   

  1. （1.College of Mechanical Engineering, Ningxia University，Yinchuan 750021，China; 2. College of Mechanical and Energy Engineering，Zhejiang niversity，Hangzhou 310027，China）
  • Received:2009-03-26 Revised:1900-01-01 Online:2009-10-18 Published:2009-10-18
  • Contact: WANG Yu-rong

PDF

摘要：

针对旋转机械非平稳信号的特点，提出采用谐波小波滤波对现场采集的振动信号进行故障诊断的新方法。该方法基于谐波小波良好的盒形频谱特性，将特定频率段的成分与信号的其它频率成分既不交叠又不遗漏地分解到相互独立的频带上，再进行重构就可将特定频率成分提取出来。仿真计算及实例验证表明，谐波小波滤波方法具有良好的滤波效果，能将有用频率成分提取出来，为初步故障诊断提供依据。该方法具有算法简单，运算速度快的特点。

关键词: 振动与波, 谐波小波滤波, 旋转机械, 故障诊断, 非平稳信号

Abstract:

A new method of fault diagnosis of in-situ sampled vibration signals is introduced for the non-stationery signals of rotating machines by using the harmonic wavelet filtering. Based on the nice box-shaped characteristic of spectrum of harmonic wavelet, the components in prescribed frequency region and other frequency components are decomposed to independent frequency bands without any overlapping or leaking. Then the frequency components in the prescribed region can be extracted by data reconstruction. Simulation results and practical examples show that this method has good filtering effect. It can extract the valuable frequency components for elementary fault diagnosis. This method has the merits of simple algorithm and computer-time saving.

Key words: vibration and wave harmonic wavelet filtering, rotating machines, fault diagnosis, non-stationery signal

中图分类号: