The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation

Ma Jun; Wu Jiande; Fan Yugang; Wang Xiaodong

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The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation

机译：基于LMD和包络解调的滚动轴承故障特征提取

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Since the working process of rolling bearings is a complex and nonstationary dynamic process, the common time and frequency characteristics of vibration signals are submerged in the noise. Thus, it is the key of fault diagnosis to extract the fault feature from vibration signal. Therefore, a fault feature extraction method for the rolling bearing based on the local mean decomposition (LMD) and envelope demodulation is proposed. Firstly, decompose the original vibration signal by LMD to get a series of production functions (PFs). Then dispose the envelope demodulation analysis on PF component. Finally, perform Fourier Transform on the demodulation signals and judge failure condition according to the dominant frequency of the spectrum. The results show that the proposed method can correctly extract the fault characteristics to diagnose faults.

机译：由于滚动轴承的工作过程是一个复杂且不稳定的动态过程，因此振动信号的常见时间和频率特性被淹没在噪音中。因此，从振动信号中提取故障特征是故障诊断的关键。因此，提出了一种基于局部均值分解和包络解调的滚动轴承故障特征提取方法。首先，通过LMD分解原始振动信号，得到一系列的生产函数（PFs）。然后对PF分量进行包络解调分析。最后，对解调信号进行傅立叶变换，并根据频谱的主频判断故障条件。结果表明，该方法能够正确提取故障特征，进行故障诊断。

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《Mathematical Problems in Engineering》 |2015年第2期|429185.1-429185.13|共13页
作者
Ma Jun; Wu Jiande; Fan Yugang; Wang Xiaodong;
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作者单位

Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Peoples R China.;

Engn Res Ctr Mineral Pipeline Transportat YN, Kunming 650500, Peoples R China.;

Engn Res Ctr Mineral Pipeline Transportat YN, Kunming 650500, Peoples R China.;

Engn Res Ctr Mineral Pipeline Transportat YN, Kunming 650500, Peoples R China.;

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1. The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation [J] . JunMa, JiandeWu, YugangFan, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第2期

机译：基于LMD和包络解调的滚动轴承故障特征提取
2. A fractal-dimension-based envelope demodulation for rolling element bearing fault feature extraction from vibration signals [J] . Shi Juanjuan, Liang Ming Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science . 2016,第18期

机译：基于分形维的包络解调，用于从振动信号中提取滚动轴承故障特征
3. Elimination of End effects in LMD Based on LSTM Network and Applications for Rolling Bearing Fault Feature Extraction [J] . Jianhong Liang, Liping Wang, Jun Wu, Mathematical Problems in Engineering: Theory, Methods and Applications . 2020,第1期

机译：基于LSTM网络的LMD在LMD中消除终止效应及滚动轴承故障特征提取
4. Approach to fault feature extractions of rolling bearing via EEMD and full-vector envelope spectrum [C] . Hongcheng Xiang, Xiaodong Wang, Guoyong Huang Chinese Control and Decision Conference . 2017

机译：基于EEMD和全矢量包络谱的滚动轴承故障特征提取方法。
5. Model-based techniques for real-time fault detection of rolling element bearings [D] . Afshari, Nader 1998

机译：基于模型的滚动轴承实时故障检测技术
6. Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features [O] . Liwei Zhan, Fang Ma, Jingjing Zhang, 2019

机译：基于自适应噪声和统计时域特征的增强型互补经验模态分解的滚动轴承故障特征提取与诊断
7. Envelope demodulation method based on SET for fault diagnosis of rolling bearings under variable speed [O] . Zengqiang MA, Xin LI, Suyan LIU, 2020

机译：基于集速下滚动轴承故障诊断的包络解调方法

The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation

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