基于SVDD和距离测度的齿轮泵故障诊断方法研究

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (11) : 62-65.

论文

基于SVDD和距离测度的齿轮泵故障诊断方法研究

王涛，李艾华，王旭平，蔡艳平

作者信息 +

Study on Fault Diagnosis Method for Gear Pump Based on Support Vector Domain Description and Distance Measure

Wang Tao Li Aihua Wang Xuping Cai Yanping

Author information +

文章历史 +

摘要

提出了一种基于支持向量域描述和距离测度的齿轮泵故障诊断方法。该方法首先对齿轮泵各种工况下的振动信号进行小波包分解，提取各频带能量百分比作为特征向量；然后仅利用正常工况下的特征向量训练SVDD超球模型，通过定义绝对距离测度检测齿轮泵状态是否出现异常；最后针对每类工况下的特征向量单独训练SVDD超球模型，通过定义相对距离测度准确定位齿轮泵的不同故障工况。试验结果表明，采用小波包频带能量降低了数据维数，有效浓缩了故障信息；基于绝对距离测度和相对距离测度的SVDD故障诊断方法既能检测异常状态，又能区分各种故障工况，达到了状态监测和故障分类识别的目的。

Abstract

A fault diagnosis method for gear pump based on support vector domain description and distance measure is put forward. Firstly, vibration signals under various conditions of the gear pump are decomposed by wavelet packet to extract energy percentage of each frequency band as feature vectors. Next SVDD hypersphere model is trained only using feature vectors under normal condition, and abnormal condition of gear pump is detected through the definition of absolute distance measure. Finally SVDD hypersphere models are trained independently by using feature vectors under each conditions, and various fault conditions of gear pump are recognized accurately through the definition of relative distance measure. Experimental results show that the data dimension is reduced and the diagnosis information is concentrated effectively by adopting feature extraction with wavelet packet technology. SVDD fault diagnosis methods based on absolute distance and relative distance measures not only can detect abnormal condition, but also can distinguish various fault conditions, achieving the purpose of condition monitoring and fault classification.

导出引用

王涛;李艾华;王旭平;蔡艳平. 基于SVDD和距离测度的齿轮泵故障诊断方法研究[J]. 振动与冲击, 2013, 32(11): 62-65

Wang Tao Li Aihua Wang Xuping Cai Yanping. Study on Fault Diagnosis Method for Gear Pump Based on Support Vector Domain Description and Distance Measure[J]. Journal of Vibration and Shock, 2013, 32(11): 62-65