两种信号变换方法在罗茨鼓风机故障特征提取中的应用研究  

Application of Two Kinds of Signal Transformation Method in Extracting the Failure Features of Roots Blower

作　　者：张九灵[1] 赵永瑞[1] 李本祥[1] 刘万虎[1] 

机构地区：[1]中国石油大学(华东)机电工程学院,山东青岛266555

出　　处：《山东科技大学学报（自然科学版）》2010年第3期73-78,共6页Journal of Shandong University of Science and Technology(Natural Science)

基　　金：青岛市科技计划项目(08-1-3-36-jch)

摘　　要：叶轮与壳体动静碰摩为三叶罗茨鼓风机多发故障,若碰摩严重会造成较大的安全隐患和经济损失,研究其故障特征具有重要意义。分析了三叶罗茨鼓风机叶轮与壳体发生动静碰摩的故障特征,应用振动测试系统采集该故障信号,采用小波变换和经验模态分解分别对实际碰摩故障信号进行分析,提取其故障特征,并将两种方法进行了对比。研究表明,经验模态分解比小波变换更适用于三叶罗茨鼓风机动静碰摩故障特征提取。The dynamic and static rubs between impellers and case are common failures happened in the three-blade Roots blower,which could cause a serious safety risk and great economic loss if severe,so it is significant to study the failure features. The failure features of dynamic and static rubs between impellers and case in three-blade Roots blower were analyzed and, the vibration test system was used to acquire failure signals and the actual failure signals were analyzed by using wavelet transformation and empirical mode decomposition（EMD）methods respectively. The failure features were extracted and two methods were compared. It is concluded that EMD was more suitable for failure features extraction of the dynamic and static rubs than wavelet analysis.

关 键 词：三叶罗茨鼓风机 动静碰摩 经验模态分解 小波分析 

分 类 号：TH445[机械工程—机械制造及自动化] TP206[自动化与计算机技术—检测技术与自动化装置]