Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (34): 226-228.

• 工程与应用 • Previous Articles     Next Articles

Adaptive update-lifting wavelet and its applications using gradient

ZHOU Jian-ping1,2,ZHENG Ying-ping2   

  1. 1.School of Power and Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China
    2.School of Electronics and Information,Tongji University,Shanghai 200092,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-01 Published:2007-12-01
  • Contact: ZHOU Jian-ping

基于梯度的自适应更新提升小波及其应用

周建萍1,2,郑应平2   

  1. 1.上海电力学院 电力与自动化工程学院,上海 200090
    2.同济大学 电子与信息工程学院,上海 200092
  • 通讯作者: 周建萍

Abstract: The lifting wavelet transform is used to construct wavelet to de-noise the vibration signal of turbo generator units.According to the theory and characteristics of the lifting wavelet transform,the adaptive update operator is designed depending on the local gradient of the signal.This method is used to de-noise the vibration signal of turbo-generator units.The feasibility and validity are proved through example simulation,which provides support for fault diagnosis of vibration signals for turbo-generator units.

Key words: gradient, adaptive, lifting wavelet, de-noising

摘要: 针对电厂汽轮发电机组振动信号的噪声抑制问题,采用提升小波变换的方法构造小波。在讨论了提升小波变换基本原理及特点的基础上,根据信号的局部梯度大小对提升格式的更新算子U(Update)进行自适应设计。用此方法对电厂汽轮发电机组的振动信号进行消噪处理,并通过实例仿真证明了该方法的可行性和有效性,从而为汽轮发电机组振动信号的故障诊断提供有力依据。

关键词: 梯度, 自适应, 提升小波, 消噪