• CN:11-2187/TH
  • ISSN:0577-6686

›› 1993, Vol. 29 ›› Issue (6): 58-64.

• 论文 • 上一篇    下一篇

突变性故障特征识别的两种实用小波技术

蔡志强;吴雅;熊光荣;杨叔子   

  1. 华中理工大学
  • 发布日期:1993-11-01

TWO PRACTICAL WAVELET TECHNIQUES OF RECOGNIZING FAULT CHARACTERISTICS FROM TRANSIENT SIGNALS

Cai Zhiqiang;Wu Ya;Xiong Guangrong;Yang Shuzi   

  1. Huazhong University of Technology
  • Published:1993-11-01

摘要: 研究了小波方法分析的基本原理和方法。然后给出小波分析在故障诊断中的两种用法。一种是通过提取故障信号的突变信息,以识别故障特征,另一种是把最新的小波包变换与传统的故障树分析法相结合,形成一种精细的故障诊断方法。

关键词: 故障树, 故障诊断, 小波分析

Abstract: The application of wavelet method in the field of diagnosis of mechanical devices is investigated. Two techniques are developed for recognizing the fault characteristics. One is based on the detecting of singularities of transient signals by conlinuous wavelet transform. The other maps a fault characteristic to a combination of leaves on a wavelet packet tree for fault locating. Some experimental results are presented.

Key words: Fault diagnosis, Fault tree, Wavelet analysis