Full envelope spectrum based on BEMD and its applications in TRT fault diagnosis

被引：0
作者：
Huang C. [1 ,2 ]
Song H. [1 ]
Qin N. [3 ]
机构：
[1] School of Mechanical and Automotive Engineering, Zhengzhou Institute of Technology, Zhengzhou
[2] School of Mechanical Engineering, Zhejiang University, Hangzhou
[3] School of Electrical Engineering, Southwest Jiaotong University, Chengdu
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2018年 / 38卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Bivariate empirical mode decomposition; Complex envelope signal; Complex intrinsic mode functions; Full vector envelope spectrum; Hilbert transform; Information fusion;
D O I：
10.16081/j.issn.1006-6047.2018.01.028
中图分类号：
学科分类号：
摘要：
In order to fully extract the characteristics of vibration signal and improve the reliability of fault diagnosis, a mechanical fault diagnosis method based on FVES(Full Vector Envelope Spectrum) is proposed. Firstly, the orthogonal sampling technique is used to obtain the mutually perpendicular rotor vibration signal in the same section and composited them to a complex signal. Secondly, this complex signal is divided into series of CIMFs(Complex Intrinsic Mode Functions) based on BEMD(Bivariate Empirical Mode Decomposition), which are demodulated by Hilbert transform to get the envelope signal of CIMFs. Finally, the complex envelope signal is fused by Full Vector Spectrum technology to get corresponding FVES for fault diagnose. The fault diagnosis results of rubbing rotor and the blast furnace top gas recovery turbine unit show that the proposed method is accurate and complete. © 2018, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：184 / 192
页数：8
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