基于小波分析的氢涡轮泵低温轴承保持架故障特征辨识  

Fault identification based on wavelet analysis for bearing cage of hydrogen turbopump

作　　者：黄锦殿 柴卫东[2] 

机构地区：[1]北京航天动力研究所,北京100076 [2]航天推进技术研究院,西安710100

出　　处：《火箭推进》2011年第2期43-47,共5页Journal of Rocket Propulsion

摘　　要：提出了小波分析与短时傅立叶分析相结合的方法来分析处理滚动轴承的振动信号,提取对应于轴承保持架的特定频率成分有助于准确地判断轴承保持架的健康状况。研究结果表明,在氢涡轮泵低温轴承保持架故障特征辨识中,综合利用小波分析与短时傅立叶分析能够更形象、更直观地识别出特定的频率成分。A new method to combine the wavelet analysis with short-time Fourier transtorm is presented to analyse the vibration signal of rolling bearing cage, extract the designated frequency composition corresponding to the beating cage and judge the healthy status of the bearing cage accurately. The research demonstrates that the new method has unique advantages in identifying the defects of the bearing cages.

关 键 词：轴承保持架 振动信号 小波分析 短时傅立叶分析 故障识别 

分 类 号：V434-34[航空宇航科学与技术—航空宇航推进理论与工程]