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齿轮故障的最优Gabor窗谱检测法

柏林 彭春阳 杨冠琼

重庆大学学报:自然科学版2012,Vol.35Issue(1):29-33,5.
重庆大学学报:自然科学版2012,Vol.35Issue(1):29-33,5.

齿轮故障的最优Gabor窗谱检测法

The optimized Gabor window spectrum of gear fault diagnosis detection

柏林 1彭春阳 1杨冠琼1

作者信息

  • 1. 重庆大学机械传动国家重点实验室,重庆400044
  • 折叠

摘要

Abstract

There is a lot of non-stationary signals in gear vibration signals, which is analyzed by using Gabor spectrum. To resolve the problem of the choice of window,a method based on entropy is proposed to select the optimal Gabor window width,and the time-frequency resolution of Gahor transform is improved. Since the spectrum has its specific mechanism of crossing-item,the Gabor spectrum is calculated in the region of the key support area and the crossing-item is effectively removed, then the Gabor spectrum is used to analysis the time-frequency distribution of vibration signals of gear, and this method is compared with traditional analysis methods. The result shows that the Gabor spectrum can intuitively react abnormal gear and energy changes with time,and easily diagnose the gear fault.

关键词

Gabor变换/熵度量/窗函数宽度/齿轮故障诊断

Key words

Gabor transform/entropy measure/window width/gear fault diagnosis

分类

信息技术与安全科学

引用本文复制引用

柏林,彭春阳,杨冠琼..齿轮故障的最优Gabor窗谱检测法[J].重庆大学学报:自然科学版,2012,35(1):29-33,5.

基金项目

国家自然科学基金资助项目 ()

重庆市科委自然科学基金计划资助项目 ()

重庆大学211工程 ()

重庆大学学报:自然科学版

OA北大核心CSCDCSTPCD

1000-582X

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