| 引用本文: | 黄传金,宋海军,秦娜.BEMD全矢包络谱及其在TRT故障诊断中的应用[J].电力自动化设备,2018,(1): |
| HUANG Chuanjin,SONG Haijun,QIN Na.Full envelope spectrum based on BEMD and its applications in TRT fault diagnosis[J].Electric Power Automation Equipment,2018,(1): |
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| 摘要: |
| 为全面提取转子故障时振动信号特征，提高故障诊断的可靠性，提出了一种基于全矢包络谱的旋转机械故障诊断方法。首先，利用正交采样技术获取转子同一截面上互相垂直的振动信号，将其组成复数信号；然后，运用基于能量阀值的二元经验模态分解(BEMD)将复数信号分解成系列复固有模态函数分量(CIMFs)，利用希尔伯特变换(HT)解调CIMFs获得复包络信号；最后，通过全矢谱技术融合复包络信号得到全矢包络谱，在此基础上，进行故障诊断。柔性转子和高炉煤气余压透平发电装置故障诊断结果证明了所提方法的有效性和可行性。 |
| 关键词: 全矢包络谱 二元经验模态分解 复固有模态函数 希尔伯特变换 复包络信号 信息融合 |
| DOI：10.16081/j.issn.1006-6047.2018.01.028 |
| 分类号:TK268.1 |
| 基金项目:国家自然科学基金重点资助项目(61134002)；中央高校基本科研业务费专项资金资助项目(2682015CX025)；河南省创新型科技人才队伍建设工程项目(C20150034);2018年度河南省高等学校重点科研项目(18A460006)；郑州工程技术学院科技创新团队建设计划资助项目(CXTD2017K1) |
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| Full envelope spectrum based on BEMD and its applications in TRT fault diagnosis |
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HUANG Chuanjin1,2, SONG Haijun1, QIN Na3
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1.School of Mechanical and Automotive Engineering, Zhengzhou Institute of Technology, Zhengzhou 450044, China;2.School of Mechanical Engineering, Zhejiang University, Hangzhou 310017, China;3.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
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| Abstract: |
| 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. |
| Key words: full vector envelope spectrum bivariate empirical mode decomposition complex intrinsic mode functions Hilbert transform complex envelope signal information fusion |
