Feature extraction of rolling bearing fault signal based on local mean decomposition and Teager energy operator

Cai Jianhua

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Feature extraction of rolling bearing fault signal based on local mean decomposition and Teager energy operator

机译：基于局部均值分解和茶叶能量运算符的滚动轴承故障信号的特征提取

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摘要

Purpose - This paper aims to explore a new way to extract the fault feature of a rolling bearing signal on the basis of a combinatorial method.

机译：None

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来源
《Industrial Lubrication and Tribology》 |2017年第6期|共9页
作者
Cai Jianhua;
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作者单位

Hunan Univ Arts &

Sci Dept Phys &

Elect Changde Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类机械摩擦、磨损与润滑;
关键词
Fault diagnosis; Rolling bearing; Mechanical engineering; Time-frequency analysis; Local mean decomposition; Teager energy operator;

机译：故障诊断;滚动轴承;机械工程;时频分析;局部均值分解;TEAGER能量运营商;

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1. Feature Extraction of Bearing Vibration Signals Using Second Generation Wavelet and Spline-Based Local Mean Decomposition [J] . WEN Cheng-yu, DONG Liang, JIN Xin 上海交通大学学报（英文版） . 2015,第001期
2. Weak characteristic information extraction from early fault of wind turbine generator gearboxKeywords wind turbine generator gearbox, B-singular value decomposition, local mean decomposition, weak characteristic information extraction, early fault warning [J] . Xiaoli XU, Xiuli LIU 机械工程前沿：英文版 . 2017,第003期
3. Extraction of Partial Discharge Acoustic Signal by Wavelet Transform with Teager's Energy Operator [J] . DU Boxue, OUYANG Mingjian, WU Yuan, 天津大学学报（英文版） . 2005,第004期
4. Feature extraction of rolling bearing fault signal based on local mean decomposition and Teager energy operator [J] . Cai Jianhua Industrial Lubrication and Tribology . 2017,第6期

机译：基于局部均值分解和茶叶能量运算符的滚动轴承故障信号的特征提取
5. Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator [J] . Longlong Li, Yahui Cui, Runlin Chen, Shock and vibration . 2019,第1期

机译：基于奇异数值分解的轧辊轴承故障特征提取研究奇异部件累积效应和茶叶能量算子
6. Research on Rolling Bearing Fault Feature Extraction Based on Singular Value Decomposition considering the Singular Component Accumulative Effect and Teager Energy Operator [J] . Li Longlong, Cui Yahui, Chen Runlin, Shock and vibration . 2019,第PTa10期

机译：基于奇异数值分解的轧辊轴承故障特征提取研究
7. Rolling bearing fault detection based on local characteristic-scale decomposition and teager energy operator [C] . Liu Hongmei, Chen Yu International conference on vibroengineering procedia . 2017

机译：基于局部特征尺度分解和茶叶能量运算符的滚动轴承故障检测
8. 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
9. 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
10. Incipient Fault Feature Extraction of Rolling Bearings Using Autocorrelation Function Impulse Harmonic to Noise Ratio Index Based SVD and Teager Energy Operator [O] . Kai Zheng, Tianliang Li, Bin Zhang, 2017

机译：基于自相关函数脉冲调和噪声指数的sVD和Teager能量算子提取滚动轴承的初始故障特征
11. Extraction of Bearing Fault Transients from a Strong Continuous Signal Via DWPA Multiple Hand-Pass Filtering. [R] . Altmann, J., Mathew, J. 2001

机译：用DWpa多次手持滤波从强连续信号中提取轴承故障暂态。

Feature extraction of rolling bearing fault signal based on local mean decomposition and Teager energy operator

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