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|本期目录/Table of Contents|

基于奇异值分解的航空发动机转子碰摩故障特征提取方法

《应用力学学报》[ISSN:1000-4939/CN:61-1112/O3]

期数:
2019年02期
页码:
260-266
栏目:
出版日期:
2018-12-18

文章信息/Info

Title:
The extraction of the fault features from aero-engine rotor contact-rubbing based on singular value decomposition
作者:
张永强易亮
(中国航发商发制造试验验证中心 200306 上海
Author(s):
Zhang Yongqiang Yi Liang
AECC CAEM Center for Instrumentation & Rig Testing, 201306, Shanghai, China
关键词:
特征提取转子碰摩降噪奇异值分解航空发动机
分类号:
U226.8+1
DOI:
10.11776/cjam.36.02.C003
文献标识码:
A
摘要:
提出了利用奇异值分解(SVD)提取航空发动机转子碰摩故障特征信号的方法,通过数值仿真得到,奇异值分解方法可以非常有效地将各种不同特征信号完全提取分离,论证了该方法的可行性。然后以某型国产航空发动机在试车台开车过程中某稳定状态的转子振动测量数据为基础,利用奇异值分解的优选差分谱理论对振动信号进行了降噪处理;根据傅里叶变换频谱图中各频率点峰值与奇异值分解差分谱峰值序列相对应的特点,对降噪后振动信号进行了特征提取,实现了转子系统的碰摩故障特征信号的提取。实际结果表明,该方法能够有效地诊断转子系统碰摩故障及提取相应的故障特征信号。

参考文献/References

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