基于最优小波基的主泵裂纹转子特征识别研究

李彬;夏虹

振动与冲击 ›› 2014, Vol. 33 ›› Issue (21) : 207-212.

PDF(2084 KB)
PDF(2084 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (21) : 207-212.
论文

基于最优小波基的主泵裂纹转子特征识别研究

  • 李彬1,夏虹1
作者信息 +

Research on Feature Recognition of Cracked Rotor of RCP Based on the Optimal Wavelet Basis

  • LI Bin1,XIA Hong1
Author information +
文章历史 +

摘要

针对反应堆主冷却剂泵经过长期运行后,可能会出现的转子裂纹故障,利用小波分析,能够实现对故障特征的识别。结合反应堆主冷却剂泵裂纹转子振动模型的仿真信号,运用连续小波变换的方法,从小波基库中选出不同小波基分别计算与故障信号的互相关系数,确定最大值,其对应的小波基即为转子裂纹故障信号的最优小波基,并使用该小波基对故障信号进行分析,将功率谱、变换尺度以及频率以三维图的形式刻画出来。仿真结果表明,最大互相关系数选出的小波基可以作为转子裂纹故障信号的最优小波基,并且能够很好的识别出转子裂纹故障特征。

Abstract

Touching upon that the crack fault of the rotor may occur after the RCP has operated a long time, the fault feature can be identified effectively by the method of the wavelet analysis. Based on the simulation signal of the vibration model of the RCP cracked rotor and the method of CWT, the cross-correlation coefficients between the fault signal and the different wavelet basis which are selected from the wavelet basis library can be computed. After confirming the maximum of the cross-correlation coefficients, the optimal wavelet basis applied to the fault signal of the cracked rotor will be found. And the three-dimensional diagram which covers the power spectrum, the scale of transform and the frequency will be described, once the signal analysis of the fault is completed by use of the optimal wavelet basis. The results of simulation illustrate that the wavelet basis selected by the maximum cross-correlation coefficients can become the optimal wavelet basis, and the fault feature of the cracked rotor can be recognized effectively.


关键词

反应堆主冷却剂泵 / 裂纹转子 / 最优小波基 / 互相关系数

Key words

reactor coolant pump / cracked rotor / optimal wavelet basis / cross-correlation coefficients

引用本文

导出引用
李彬;夏虹. 基于最优小波基的主泵裂纹转子特征识别研究[J]. 振动与冲击, 2014, 33(21): 207-212
LI Bin;XIA Hong. Research on Feature Recognition of Cracked Rotor of RCP Based on the Optimal Wavelet Basis[J]. Journal of Vibration and Shock, 2014, 33(21): 207-212

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