基于信息熵的涡旋压缩机振动信号分析  

Analysis of Vibration Signals of Scroll Compressor Based on Information Entropy

作　　者：邬再新[1] 刘涛[1,2] 黄成东[1] 

机构地区：[1]兰州理工大学机电工程学院,兰州730050 [2]兰州理工大学数字制造技术与应用省部共建教育部重点实验室,兰州730050

出　　处：《振动．测试与诊断》2014年第1期168-172,197,共5页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(51265027);甘肃省高等学校基本科研业务费资助项目(1302ZTC034)

摘　　要：为了定量描述涡旋压缩机的运行状态,应用信息熵理论,建立了一种基于时域的奇异谱熵、频域的功率谱熵、时-频域小波能量谱熵和小波空间特征谱熵的振动信号分析方法,并作为综合评价涡旋压缩机振动状态的定量特征指标。实现了在恒转速条件下涡旋盘固有频率的识别,定量分析了动涡盘轴向振动、径向柔性机构及轻微液击等对压缩机的影响。揭示了变转速条件下涡旋盘3种周期激变的运动形式及信息熵随着压缩机转速变化的规律。研究结果为涡旋压缩机故障诊断提供了基础数据。In order to make a quantitative description for the running status of the scroll compressor,a fault diagnosis method of information entropy is proposed on the basis of the theory of entropy.This method is based on singular spectrum entropy in time domain,power spectrum entropy in frequency domain,wavelet power spectrum entropy and wavelet space feature spectrum entropy in time-frequency domain,which is used as the comprehensive appraisal index of quantitative feature for vibration status of scroll compressor.Under condition of invariable speed operation,the identification of natural frequency is carried out.Meanwhile,the influence of the axial vibration of moving scroll,radial compliance mechanism and slight liquid slugging on the scroll compressor is analyzed quantitatively.Three forms of periodic cataclysm of moving scroll under variable speed operation and the variation of information entropy with rotational speed are disclosed.Results provide basic data for the fault diagnosis of scroll compressor.

关 键 词：漩涡压缩机 信息熵 震动信号 故障诊断 

分 类 号：TH455[机械工程—机械制造及自动化]