EMD技术在船舶液压设备故障诊断中的应用研究
Application Research of EMD Technology in Fault Diagnosis of Marine Hydraulic Equipment
DOI: 10.12677/MET.2017.64039, PDF, HTML, XML, 下载: 1,562  浏览: 4,226 
作者: 陈子建, 王振涛：军事交通运输研究所，天津；许杰斌：解放军第7814工厂，辽宁 大连
关键词: 经验模态分解；径向基函数网络；船舶液压系统；故障诊断；Empirical Mode Decomposition (EMD)； Radial Basis Function Network； Marine Hydraulic System； Fault Diagnosis
摘要: 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。
Abstract: 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.
文章引用：陈子建, 王振涛, 许杰斌. EMD技术在船舶液压设备故障诊断中的应用研究[J]. 机械工程与技术, 2017, 6(4): 324-335. https://doi.org/10.12677/MET.2017.64039

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