Application Research of EMD Technology in Fault Diagnosis of Marine Hydraulic Equipment

本文在分析传统液压设备故障诊断技术及信号处理方法在船舶液压系统故障诊断方面存在不足的基础上，论述了振动分析在船舶液压系统故障诊断领域应用的可行性及前景，分析了经验模态分解(EMD)技术在处理非平稳信号方面的工程应用优势；分别以经验模态分解算法和径向基函数网络为基础，结合船舶液压系统应用实际，构建了船舶液压系统振动信号特征向量提取模型和故障诊断模型；最后以某型船艇装备液压舵机系统实测数据为基础，对构建的特征向量提取模型和故障诊断模型进行了验证。 Based on the analysis of the shortcomings of the traditional hydraulic equipment fault diagnosis technology and signal processing signal processing methods in the field of marine hydraulic system fault diagnosis, the feasibility and prospect of vibration analysis method in the field of marine hy-draulic system fault diagnosis are discussed, the advantages of EMD in dealing with non-stationary signals are analyzed. On the basis of EMD and RBF network, combined with the application of ma-rine hydraulic system, the vibration signal characteristic vector extraction model and fault diagno-sis model of marine hydraulic system are constructed. Finally, the model of characteristic vector extraction and fault diagnosis model are validated on the basis of measured data of hydraulic steering gear equipped with a certain type of watercraft.