机械工程学报 >

2016 , Vol. 52 >Issue 7: 69 - 78

DOI: https://doi.org/10.3901/JME.2016.07.069

机械动力学

复局部均值分解全矢包络技术及其在转子故障特征提取中的应用

  • 黄传金 ,
  • 孟雅俊 ,
  • 雷文平 ,
  • 韩捷
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  • 1. 中州大学机电与汽车工程学院 郑州 450044;
    2. 郑州大学振动工程研究所 郑州 450001
黄传金(通信作者),男,1974年出生,硕士,副教授。主要从事非线性信号分析及其在工程信号中的应用研究。E-mail：zzdxhcj@163.com;孟雅俊,女,1973年出生,硕士,副教授。主要从事机械设备故障诊断方面的研究。E-mail：1229318608@qq.com;雷文平,男,1977年出生,博士研究生,副教授。主要从事机械设备故障诊断方面的研究。E-mail：lwp@zzu.edu.cn;韩捷,男,1957年出生,教授,博士研究生导师。主要研究方向为设备故障机理与智能诊断技术及相关产品开发。E-mail：hj-em@163.com

网络出版日期: 2016-04-05

基金资助

国家自然科学基金(50675209)、河南省创新型科技人才队伍建设工程(C20150034)和河南省基础与前沿技术研究计划(162300410042)资助项目

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Full Vector Envelope Technique Based on Complex Local Mean Decomposition and Its Application in Fault Feature Extraction for Rotor System

  • HUANG Chuanjin ,
  • MENG Yajun ,
  • LEI Wenping ,
  • HAN Jie
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  • 1. Electrical and Mechanical and Automotive Engineering, Zhongzhou University, Zhengzhou 450044;
    2. Vibration Engineering Institute, Zhengzhou University, Zhengzhou 450001

Online published: 2016-04-05

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摘要

为更全面提取转子故障特征,将全矢谱和复局部均值分解(Complex local mean decomposition, CLMD)相结合,提出二元的全矢包络技术——CLMD全矢包络技术。采用正交采样技术获取转子同一截面上互相垂直方向上的振动信号,并将其组成一个复数信号;运用CLMD将复数信号按能量从高到低的顺序依次分离出系列复乘积函数(Complex product function, CPF),并解调出CPF的复包络;由于故障特征主要在能量较高的CPF分量中,通过全矢谱技术融合前几阶CPF分量的包络信号,得到相应的全矢包络谱。仿真的调幅-调频信号分析结果表面,较之Hilbert解调,CLMD全矢包络技术可提取隐含的调频信息,而且不存在虚假的低频谱线。转子试验台模拟的基座松动信号、碰摩信号分析结果表明,较之单源信息的包络谱,CLMD全矢包络技术提取的谱线特征更清晰、全面,而且根据全矢包络谱可有效区分基座松动引起的碰摩和单一碰摩故障。

关键词： 全矢谱; 复局部均值分解; 全矢包络谱; 复乘积函数; 复包络信号

本文引用格式

黄传金 , 孟雅俊 , 雷文平 , 韩捷 . 复局部均值分解全矢包络技术及其在转子故障特征提取中的应用[J]. 机械工程学报, 2016 , 52(7) : 69 -78 . DOI: 10.3901/JME.2016.07.069

Abstract

A bivariate full vector envelope technique is proposed based on complex local mean decomposition (CLMD), which combines full vector spectrum (FVS) and CLMD, to extract comprehensive rotor fault feature. Orthogonal sampling technique is used to obtain the same section of the rotor vibration signal in the direction perpendicular to each other and composited them to a complex signal. Complex signal is divided into series of complex product functions (CPF) followed in descending order by energy and the complex envelope signal of CPF is demodulated. Since the fault characteristics are mainly concentrated in the higher-energy component of the CPF, complex envelope signal of the first few CPF component by FVS is fused to get corresponding full vector envelope spectrum. Simulation AM - FM signal analysis results show that, compared with Hilbert demodulation, CLMD full vector envelope technology extracts information of implied FM, but there is no false low-frequency spectrum. Analysis of the signal of base loose and rubbing rotor from rotor test rig show that, compared with single-source information envelope spectrum, spectral features extracting by CLMD full vector envelope technology are not only more clear and comprehensive, also distinguish rub caused by base loose with the single rub using CLMD full vector envelope technology.

Key words： full vector spectrum; complex local mean decomposition; full vector envelope spectrum; complex product functions; complex envelope signal

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