基于关联维数和小波能量谱熵的碰摩故障智能诊断

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振动与冲击 ›› 2010, Vol. 29 ›› Issue (8) : 174-177,.

论文

基于关联维数和小波能量谱熵的碰摩故障智能诊断

王美令; 陈果

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Intelligent Diagnosis of Rubbing Based on Correlation Dimension and Energy Spectrum Entropy

WANG Meiling; CHEN Guo

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摘要

提取了转静碰摩故障的关联维数和小波能量谱熵特征，构造了基于支持向量机的碰摩故障智能诊断模型。首先，基于转子碰摩动力学仿真模型，进行了关联维数和小波能量谱熵对碰摩故障的灵敏度分析，然后，以碰摩故障仿真样本为学习样本，利用SVM构造了碰摩故障分类器，得出了用于识别碰摩故障的SVM判别函数；最后，利用航空发动机转子故障实验器，通过实验得到碰摩故障实验样本，对其进行降噪处理，计算其关联维数和能量谱熵后，代入SVM判别函数，直接判别是否出现碰摩故障。实验结果验证了本文方法的有效性。

Abstract

The correlation dimension and wavelet energy spectrum entropy characteristics of rubbing fault signals were extracted, and the rubbing fault diagnosis model was built based on SVM. The variation rule of the correlation dimension and wavelet energy spectrum entropy of signals with rubbing faults was analysed by using a rubbing dynamic simulation model The simulated samples as the study samples were taken to train the SVM classifier and then the SVM discriminant function was obtained which can be used to identify the rubbing faults Finally, do experiments with the aero-engine rotor failure test rig to get rub-impact fault samples, and tjeir correlation dimension and energy entropy were calculated samples which are then substituted into the SVM discriminant function to determine rubbing fault directly. The experimental results verify the effectiveness of the method.

导出引用

王美令;陈果. 基于关联维数和小波能量谱熵的碰摩故障智能诊断[J]. 振动与冲击, 2010, 29(8): 174-177,

WANG Meiling;CHEN Guo. Intelligent Diagnosis of Rubbing Based on Correlation Dimension and Energy Spectrum Entropy[J]. Journal of Vibration and Shock, 2010, 29(8): 174-177,