基于局部特征尺度分解和JRD距离的液压泵性能退化状态识别方法  

Degradation status identification of a hydraulic pump based on local characteristic-scale decomposition and JRD

作　　者：田再克[1] 李洪儒[1] 谷宏强[1] 许葆华[1] 

机构地区：[1]军械工程学院,石家庄050003

出　　处：《振动与冲击》2016年第20期54-59,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(51275524)

摘　　要：针对液压泵振动信号通常具有非线性强与信噪比低的特点,提出了基于局部特征尺度分解(Local Characteristic-Scale Decomposition,LCD)与JRD(Jensen-Renyi Divergence)距离的液压泵性能退化状态识别方法。该方法首先对原始振动信号进行局部特征尺度分解,得到不同特征尺度下的内禀尺度分量(Intrinsic Scale Component,ISC);然后,提取包含主要退化特征信息的ISC分量的Renyi熵,以此作为退化特征量;最后,通过计算不同特征量之间的JRD距离来判断液压泵的退化状态。将该方法应用于液压泵实测数据,结果表明,基于局部特征尺度分解和JRD距离的退化状态识别方法能够有效识别液压泵的性能退化状态。Vibration signals of hydraulic pumps are usually nonlinear and have low signal to noise ratio. This paper presents a degradation fault feature extraction method based on local characteristic-scale decomposition （ LCD） and Jensen-Renyi divergence （JRD）. First, the hydraulic pump vibration signals were decomposed into a set of intrinsic scale components （ISC） by LCD ; and then the Renyi entropy of the first a few ISC components which contain the main degradation feature information was calculated, and adopted as degradation feature vectors; finally, the JRD between different degradation feature vectors was employed to diagnose the degradation status of the hydraulic pump. Results from analyzing actual example data show that the proposed method can recognize the degradation status of hydraulic pump effectively.

关 键 词：退化特征提取 局部特征尺度分解 RENYI熵 JRD距离 

分 类 号：TH212[机械工程—机械制造及自动化] TH213.3