摘要
针对转子系统局部碰摩故障特征及声音振动信号特点,采用一种基于声振信号经验模式分解(Empirical Mode Decomposition简称EMD)的轻微局部碰摩故障诊断方法对滑动轴承碰摩故障进行特征提取。由于EMD分解不需要固定的基函数,根据信号特征自适应的调整,从而实现碰摩特征及旋转激励背景信号自动分解。通过设计滑动轴承缺油工况轴承碰摩试验,并进行振动全息测试分析,将所得声振信号本征模式函数时域特征和边界谱特征与转子径向位移及轴承座加速度信号对比分析,确定了碰摩部件;从而证明基于声振信号EMD分解的碰摩故障诊断方法的有效性。
Abstract
According to properties of the rotor local run-impact fault and characteristics of the vibro-acoustic signals, a method is adopted to diagnose the minor local rub-impact fault of sliding bearings based on the Empirical Mode Decomposition (EMD) of vibro-acoustic signals. The rub-impact fault characteristics can be separated from rotating excitation signals automatically in that the EMD needs no fixed basic functions and adaptively adjusts with the signal properties. A rub-impact experiment of sliding bearings without lubrication was setup, vibration hologram measurements taken, and the time domain properties of the vibro-acoustic signal Intrinsic Mode Function (IMF) compared to the rotor radial displacements and bearing abutment accelerations. The rub-impact component is determined by comparing the IMF marginal spectrum to the frequency spectrum of the bearing abutment acceleration. It is proved that the method based on EMD of vibro-acoustic signals is effective to diagnose the rub-impact fault.
关键词
碰摩 /
经验模式分解 /
边界谱 /
声振信号
{{custom_keyword}} /
Key words
rub-impact /
EMD /
marginal spectrum /
vibro-acoustic signal
{{custom_keyword}} /
张占一 刘杰 应怀樵 李允公 姚兆 .
基于声振信号EMD分解的轻微碰摩故障诊断方法研究[J]. 振动与冲击, 2009, 28(8): 91-93
ZHANG Zhan-yi LIU Jie YING Huai-qiao LI Yun-gong YAO Zhao .
Research on minor rub-impact fault diagnosis methods based on EMD of vibro-acoustic signals[J]. Journal of Vibration and Shock, 2009, 28(8): 91-93
中图分类号:
TH117
{{custom_clc.code}}
({{custom_clc.text}})
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}