A method of fault detection and diagnosis based on time-frequency analysis

被引：0
|
作者：
Liang, YingBo [1 ]
Zhang, LiHong [1 ]
Li, Jin [1 ]
机构：
[1] Zhoukou Normal Univ Zhou Kou, Dept Phys & Engireering, Zhoukou 466001, Peoples R China
来源：
MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6 | 2012年 / 490-495卷
关键词：
EMD; signal denoising; signal analysis; fault diagnosis; INDICIAL RESPONSE; STEP HYPOXIA;
D O I：
10.4028/www.scientific.net/AMR.490-495.1407
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the paper the authors propose a combination of the EMD (empirical mode decomposition)method and the wavelet analysis to suppress the noise and fault detection and diagnosis, It adopts empirical mode decomposition to current signal,obtained a series of IMFs(Intrinsic Mode Function),removing the first IMF component to denosing,and then analyzed multi-scale,using signal become mutated have the maximum modulus determine the time that the failure appeared,the results show that this method determine the time that the failure appeared.
引用
收藏
页码：1407 / 1410
页数：4
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