基于时频切片分析的故障诊断方法及应用

段晨东;高强

振动与冲击 ›› 2011, Vol. 30 ›› Issue (9) : 1-5.

PDF(2227 KB)
PDF(2227 KB)
振动与冲击 ›› 2011, Vol. 30 ›› Issue (9) : 1-5.
论文

基于时频切片分析的故障诊断方法及应用

  • 段晨东1;高强2
作者信息 +

A Noval Fault diagnosis Approach Using Time-Fquency Slice Analysis and Its Application

  • Duan Chen-dong1; GAO Qiang2
Author information +
文章历史 +

摘要

为了提取设备的故障特征,提出了基于时频切片分析的故障特征提取方法。首先采用基于频率切片小波变换分解振动信号,得到信号在全频带的时频分布。在此基础上根据其时频能量分布,选择时间频率切片区间进行细化分析,通过时频分割和信号重构得到选定区间的时频特征,实现了故障特征的分离。这种方法能够有效地获取正确的故障特征信息,在某炼油厂齿轮箱摩擦故障诊断中取得了较好的效果。

Abstract

In order to extract fault features from vibration signal, a noval fault diagnosis approach using time-fquency slice analysis was proposed in this paper. Firstly, vibration signal was decomposed by applying frequency slice wavelet transform (FSWT). Thereafter, on the basis of time-frequency energy distribution of the decomposed components, zoom analysis was adopted over those interested time-frequency slice intervals which were selected for feature extraction. By making time-frequency segmentation and signal reconstruction, features in time and frequency domain were revealed over the seleced slice intervals. As a result, the fault features were successfully separated from the vibration signal. The proposed approach can efficiently extract accurate fault characteristic information for condition monitoring and fault diagnosis, it has been appeared a satisfactory effect in diagnosis for rub fault of a gear-box in a refinery.

关键词

频率切片小波变换 / 切片区间 / 细化分析 / 特征提取 / 故障诊断

Key words

frequency slice wavelet transform / slice interval / zoom analysis / feature extraction / fault diagnosis

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导出引用
段晨东;高强. 基于时频切片分析的故障诊断方法及应用[J]. 振动与冲击, 2011, 30(9): 1-5
Duan Chen-dong;GAO Qiang . A Noval Fault diagnosis Approach Using Time-Fquency Slice Analysis and Its Application[J]. Journal of Vibration and Shock, 2011, 30(9): 1-5

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