基于同步提取变换的旋转机械振动信号时频分析  被引量:9

Vibration Signal Time-Frequency Analysis for Rotating Machinery Based on Synchroextracting Transform

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作  者:邓向武 孙国玺 梁松 袁鹏慧 林水泉 DENG Xiangwu;SUN Guoxi;LIANG Song;YUAN Penghui;LIN Shuiquan(College of Electronic Information Engineering,Guangdong University of Petrochemical Technology,Maoming Guangdong 525000,China;Guangdong Province Key Laboratory of Fault Diagnosis of Petrochemical Equipment,Maoming Guangdong 525000,China)

机构地区:[1]广东石油化工学院电子信息工程学院,广东茂名525000 [2]广东省石油化工装备故障诊断重点实验室,广东茂名525000

出  处:《机床与液压》2022年第7期181-186,共6页Machine Tool & Hydraulics

基  金:广东省自然科学基金项目(2018B030311054);茂名市科技计划项目(2021004)。

摘  要:为提升工业现场采集摩擦故障振动信号时频分辨率,采用小波变换、短时傅里叶变换、同步挤压变换和同步提取变换(SET)4种时频分析算法对多分量仿真信号和旋转机械的摩擦故障振动信号进行时频分析,并对同步提取变换算法原理进行详细介绍。通过实验与其他3种算法Renyi熵值进行比较。结果表明:针对多分量仿真信号,利用SET算法可有效去除能量发散现象、混叠和端点效应,与原始多分量仿真信号的真实时频谱一致,在时间分辨率和频率分辨率上均实现了最优;针对现场摩擦故障振动信号,利用SET可以很好地抑制摩擦故障信号中的背景噪声,得到的时频图时频聚焦性较好,同时能量发散情况得到极大改善,在时频图中可以清晰地看出摩擦故障信号对应的频率。In order to enhance the level of time-frequency resolution with fault vibration signal, four kinds of time-frequency analysis algorithms, such as wavelet transform(WT),short time Fourier transform(STFT),synchrosqueezing transform(SST) and synchroextracting transform(SET),were used to analyze multi-component simulation signals and friction fault vibration signals of rotating machinery, and the principle of the SET algorithm was introduced in detail.The performance of SET was compared with other three algorithms through Renyi entropy.The results show that the SET algorithm can be used to effectively eliminate energy divergence, aliasing and endpoint effect for multi-component simulation signals, which is consistent with the real time spectrum of the original multi-component simulation signal, and the optimal time resolution and frequency resolution can be achieved;to friction fault vibration signals in field, the background noise in the friction fault signal can be suppressed well by using SET,the time-frequency diagram obtained has good time-frequency focus, and the energy divergence is greatly improved, so the corresponding frequency of the friction fault signal can be clearly seen in the time-frequency diagram.

关 键 词:旋转机械 振动信号 摩擦故障 同步提取变换 时频分析 

分 类 号:TH117[机械工程—机械设计及理论]

 

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