摘要
针对船舶轴系故障振动信号的非线性和非平稳性特点,结合轴系试验台,提出基于局域均值分解(Local Mean Decomposition,LMD)的轴系故障特征分析方法。基于LMD方法将船舶轴系的轴承座振动信号分解成若干个PF(Product Function)分量进行分析,得到各PF分量的幅值和频率,实现对原始数据的解调。采用1.5维谱对LMD分解得到的具有故障特征的PF分量进行后处理,得到振动信号的故障特征,证明试验台的轴系存在不对中故障。
Because of the non-linear and non-stationary characteristics of the vibration signal of ship shafting, pre-process is necessary before it is used for analyzing the fault feature of the shafts. This paper introduces the Local Mean Decomposition (LMD) into the fault feature analysis to deal with the issue. The vibration signal is decomposed into several Product Function(PF) components. The amplitude and frequency of each PF component are available and the initial data are decoded. The 1.5 dimensional spectrums are used for fault analysis of the PF components with fault characteristics. As an example, the method is used to analyze the vibration signals of the bearing pedestal of a ship shafting on the test rig and identify the misalignment.
作者
魏高飞
张丹瑞
WEI Gaofei;ZHANG Danrui(State Key Laboratory of Navigation and Safety Technology,Shanghai Ship and ShippingResearch Institute,Shanghai 200135,China)
出处
《上海船舶运输科学研究所学报》
2019年第1期27-32,共6页
Journal of Shanghai Ship and Shipping Research Institute
关键词
局域均值分解
船舶轴系
振动分析
故障特征
local mean decomposition
ship shafting
vibration analysis
fault feature
