基于短时傅里叶变换的油膜振荡故障识别  

Oil film shake fault identification based on short-time Fourier transform

作　　者：刘文彬[1] 郭瑜[1] 郑华文[1] 

机构地区：[1]昆明理工大学机电工程学院,云南昆明650093

出　　处：《中国测试技术》2008年第2期105-107,共3页CHINA MEASUREMENT & TESTING TECHNOLOGY

基　　金：云南省自然科学基金资助项目(2004E0011Q)

摘　　要：油膜振荡具有典型的"惯性效应",应用短时傅里叶变换对转子降速信号进行故障分析,不仅提取出了故障特征信息而且监测到其特有的"惯性效应",从而识别出油膜振荡。试验中,通过转子实验台模拟油膜涡动及油膜振荡故障,并基于LabVIEW平台开发出了基于短时傅里叶变换的故障分析系统,进行故障特征识别,得到了较好的分析结果。实践证明:用基于短时傅里叶变换的瀑布图来分析非平稳信号,具有分辨率高、特征提取结果更为精确的特点。Oil film vibration have typical ＂inertia effect＂. Coast-down test of a rotor was analyzed based on Short-Time Fourier Transform. Fault features could be extracted, and the ＂inertia effect＂ could be identified too. In the test, oil whirl and oil vibration were test by a rotor test rig. Fault analysis system based on LabVIEW was developed. Good result is obtained for fault identification. It proved that using the Waterfall based on Short-Time Fourier Transform to analyze non-balanced signal has many advantages such as high resolving power, more precision of results getting.

关 键 词：油膜涡动 油膜振荡 短时傅里叶变换 瀑布图 转子实验台 

分 类 号：TH115[机械工程—机械设计及理论] TH825