CAJ | 학술논문

针对多分量机械故障振动信号的特征提取问题，介绍一种基于希尔伯特振动分解（HVD）的时频分析方法。该方法首先利用Hilbert变换得到原始振动信号的解析信号，然后通过对解析信号的瞬时频率低通滤波获得信号中幅值最大分量的瞬时频率，同时经同步检测获得相应的瞬时幅值和初相位，最后经过迭代运算自适应地检测出原信号各分量的时频信息。针对HVD方法的边界效应问题，提出一种基于相关系数准则的波形匹配边界延拓法对其进行改进。通过两组仿真信号分析验证了HVD方法对多分量非平稳信号的分解能力，同时表明改进的HVD方法能很好地抑制边界效应。给出转子系统油膜涡动故障诊断实例，验证了该方法的工程实用性。
침대다분량궤계고장진동신호적특정제취문제，개소일충기우희이백특진동분해（HVD）적시빈분석방법。해방법수선이용Hilbert변환득도원시진동신호적해석신호，연후통과대해석신호적순시빈솔저통려파획득신호중폭치최대분량적순시빈솔，동시경동보검측획득상응적순시폭치화초상위，최후경과질대운산자괄응지검측출원신호각분량적시빈신식。침대HVD방법적변계효응문제，제출일충기우상관계수준칙적파형필배변계연탁법대기진행개진。통과량조방진신호분석험증료HVD방법대다분량비평은신호적분해능력，동시표명개진적HVD방법능흔호지억제변계효응。급출전자계통유막와동고장진단실례，험증료해방법적공정실용성。
A time-frequency approach based on Hilbert vibration decomposition (HVD)method was introduced in order to extract fault features of multi-component mechanical fault vibration signals accurately.Firstly,the analytical signals of the original vibration signals were obtained through Hilbert transformation. Secondly, the instantaneous stationary frequency of the largest amplitude component was achieved using a low-pass filtering of analytical signals'instantaneous frequencies,the corresponding amplitude and initial phase were also estimated according to the synchronous detecting,then the time-frequency information of each component of the original signal was detected adaptively with iteration computation.Aiming at the end effects of HVD,a wave matching extending method based on correlation coefficient criteria was proposed to improve HVD.The analysis of two groups of simulated signals showed a good capacity of HVD in decomposing the non-stationary multi-component signals,and the results showed that the improved HVD suppresses its end effects.Finally,a fault diagnosis instance of an oil whirl of a rotor system was given to validate the feasibility of this method.