Feature Extraction of Composite Faults of Rotating Machinery Based on Nonlinear Mode Decomposition

Abstract

Abstract: For the non-linear and non-stationary characteristics of composite fault vibration signals in rotating machinery, a fault feature extraction method was proposed based on NMD. Firstly, the original vibration signal was decomposed into several nonlinear mode (NM) components with practical physical meaning and a residual component by using NMD, then the fault features were extracted by envelopment spectrum analysis of each NM component. The results from simulation signals show the obvious advantages of the NMD method, then the NMD is applied to the composite fault diagnoses of the rotating machinery, the experimental results show that the method can effectively extract the complex fault characteristics.

Key words: nonlinear mode decomposition(NMD), harmonics identification, composite fault diagnosis of rotating machinery, feature extraction

摘要： 针对旋转机械复合故障振动信号的非平稳特征，提出了一种基于非线性模式分解（NMD）的故障特征提取方法。该方法首先通过NMD将振动信号分解为若干个具有实际物理意义的非线性模态(NM)分量和一个残余分量之和，然后对各NM分量采用包络谱分析提取故障特征。仿真信号的分析结果验证了NMD方法的优越性，在此基础上将NMD方法应用于旋转机械复合故障诊断中，实验数据的分析结果表明，该方法能有效提取出旋转机械复合故障的特征。

关键词: 非线性模式分解(NMD), 谐波辨识, 旋转机械复合故障诊断, 特征提取

CLC Number:

TH113

YANG Yu;LI Xin;Pan Haiyang;CHENG Junsheng. Feature Extraction of Composite Faults of Rotating Machinery Based on Nonlinear Mode Decomposition[J]. China Mechanical Engineering.

杨宇;李鑫;潘海洋;程军圣. 基于非线性模式分解的旋转机械复合故障特征提取方法[J]. 中国机械工程.

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