基于改进EMD的旋转机械耦合故障诊断方法研究

中国机械工程 ›› 2013, Vol. 24 ›› Issue (17): 2367-2372.

基于改进EMD的旋转机械耦合故障诊断方法研究

时培明;李庚;韩东颖

燕山大学,秦皇岛,066004

出版日期:2013-09-10 发布日期:2013-09-22
基金资助:
高等学校博士学科点专项科研基金资助项目(20101333120004)
Research Fund for the Doctoral Program of Higher Education of China（No. 20101333120004）

Study on Coupling Faults of Rotary Machinery Diagnosis Method Based on Improved EMD

Shi Peiming;Li Geng;Han Dongying

Yanshan University,Qinhuangdao,Hebei,066004

Online:2013-09-10 Published:2013-09-22
Supported by:
Research Fund for the Doctoral Program of Higher Education of China（No. 20101333120004）

摘要/Abstract

摘要：

提出一种基于改进EMD的旋转机械耦合故障诊断方法。该方法结合相似极值延拓和加余弦窗函数运算的优点,解决了延拓部分不精确和加窗函数后使原信号发生改变的问题,提高了EMD方法的运算精度。应用该方法对存在裂纹碰摩故障的转子－轴承系统振动信号进行了特征提取,并进行了故障诊断,与单一故障特性相比,诊断出的振动信号既有裂纹引起的高频成分,也有碰摩引起的低频成分,得到的耦合故障特征证明了该方法的有效性。

关键词: 旋转机械, 故障诊断, 改进EMD, 裂纹, 碰摩

Abstract:

A method of coupling faults diagnosis on rotary machinery based on improved EMD was proposed. The method which combined advantages of similar extrema extension and cosine window function, solved the problems that continuation parts were not accurate and the original signal changed because of adding window function, and improved the operation precision of EMD method. Vibrating signal feature extraction and fault diagnosis were studied on rotor-bearing system with coupling faults of crack and rub-impact by the method. The vibrating signals from rotor disk of fault system were diagnosed with both high-frequency components due to crack and low-frequency components due to rub-impact, and the coupling fault features were acquired.It is proved the method is effective.

Key words: rotatry machinery, fault diagnosis, improved empirical mode decomposition(EMD), crack, rub-impact

中图分类号:

TH133

时培明;李庚;韩东颖. 基于改进EMD的旋转机械耦合故障诊断方法研究[J]. 中国机械工程, 2013, 24(17): 2367-2372.

参考文献

[1]Gounaris C D,Papadopoulos C A. Crack Identifica- tion in Rotating Shafts by Coupled Response Meas- urements [ J ]. Engineering Fracture Mechanics, 2002,69 (3) : 339-352.
[2]Hu N Q,Wen X S. The Application of Dulling Os- cillator in Characteristic Signal Detection of Early Fault[J]. Journal of Sound and Vibration, 2003,268 (5) :917-931.
[3]Sekhar A S,Mohanty A R,Prabhakar R. Vibrations of Cracked Rotor System: Transverse Crack versus Slant Crack[J]. Journal of Sound and Vibration, 2005,279(3/5) : 1203-1217.
[4]王翔[1],王仲生[1].基于改进Hilbert-Huang变换的转子碰摩故障诊断[J].中国机械工程,2011,22(24):2937-2940.
[5]姚红良[1],李鹤[1],李小彭[1],闻邦椿[1].裂纹碰摩耦合故障转子系统诊断分析[J].振动工程学报,2006,19(3):307-312.
[6]罗跃纲[1,2],闻邦椿[2].双跨转子—轴承系统裂纹—碰摩耦合故障的稳定性[J].机械工程学报,2008,44(4):123-127.
[7]景蓓蓓[1],李鸿光[1].基于微分的经验模式方法在转子裂纹和碰摩故障诊断中的应用[J].噪声与振动控制,2009,29(5):66-69.
[8]Huang N E,Shen Z,Long S R,et al. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analy- sis[J]. Proceedings of the Royal Society London A, 1998,454(1971) :903-995.
[9]Yang Yu, He Yigang,Chen Junsheng,et al. A Gear Fault Diagnosis Using Hilbert Spectrum Based on MODWPT and a Comparison with EMD Approach [J]. Measurement,2009,42(4) :542-511.
[10]Li Yujun,Tse P W,Yang Xin,et al. EMD-based Fault Diagnosis for Abnormal Clearance between Contacting Components in a Diesel Engine [J]. Mechanical Systems and Signal Processing, 2010, 24(1) : 193-210.
[11]程军圣[1],于德介[1],杨宇[1].EMD方法在转子局部碰摩故障诊断中的应用[J].振动．测试与诊断,2006,26(1):24-27.
[12]戴桂平[1],刘彬[2].EMD相关度去噪及其在轧机信号处理中的应用[J].电子器件,2009,32(1):191-194.
[13]吴虎胜[1],吕建新[1],吴庐山[2],王茂生[1].基于EMD和SVM的柴油机气阀机构故障诊断[J].中国机械工程,2010(22):2710-2714.
[14]沈路[1],周晓军[1],张志刚[1],张文斌[1].Hilbert-Huang变换中的一种端点延拓方法[J].振动与冲击,2009,28(8):168-171.
[15]罗跃纲 [1],张松鹤 [2],闻邦椿 [3].转子-轴承系统裂纹-碰摩耦合故障的非线性特性研究[J].振动与冲击,2005,24(3):43-46.