旋转机械故障诊断的小波与傅里叶谱分析方法研究  

Study of wavelet and FFT of fault diagnose on turbine-generator sets

作　　者：周晓梅[1] 徐玉秀[1] 高良丽[2] 

机构地区：[1]天津工业大学机械电子学院,天津300160 [2]大连理工大学土木学院,大连116000

出　　处：《天津工业大学学报》2005年第1期48-51,共4页Journal of Tiangong University

摘　　要：以某电厂正在运行的汽轮发电机组的振动信号为分析对象,以小波理论为重点,将小波分析与傅里叶变换有机结合,利用小波分析的强时频分析特性和傅里叶变换的直观性,使故障诊断的结果既有效可靠又简单直观,在实际中易实现,从而找到了一种新的机械故障诊断方法,提高了诊断结果的精确性,实现了从运行中的汽轮发电机组的振动信号中诊断出故障类型及其所处的部位的目标.The vibrating signal from the turbine-generator set which is running in a certain electric company is taken to be an analysis object. Wavelet analysis, which is regarded as the emphasis, is combined with FFT. By using the better time-frequency analysis character of wavelet analysis and intuitionistic character of FFT, fault diagnosis can be made not only effective and reliable, but also simple and intuitionistic. And a new method of machine fault diagnosis is found and the exactitude of diagnosis result is improved.

关 键 词：汽轮发电机组 小波分析 傅里叶分析 故障诊断 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]