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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。
In view of the fact that the vibration signal of the hydraulic pump usually has the characteristics of strong nonlinearity and low signal-to-noise ratio, a performance degradation state identification of the hydraulic pump based on the Local Characteristic-Scale Decomposition (LCD) and the JRD (Jensen-Renyi Divergence) distance is proposed method. In this method, local characteristic scale decomposition of the original vibration signal is carried out to obtain the Intrinsic Scale Component (ISC) at different characteristic scales. Then, the Renyi entropy of the ISC component containing the main degraded characteristic information is extracted as the degradation Finally, the degradation state of the hydraulic pump is judged by calculating the JRD distance between different characteristic quantities. The method is applied to the measured data of the hydraulic pump. The results show that the degraded state identification method based on local feature scale decomposition and JRD distance can effectively identify the performance degradation of the hydraulic pump.