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Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features

机译：基于增强型互补经验模式分解的滚动轴承故障特征提取与诊断，自适应噪声和统计时域特征

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Liwei Zhan; Fang Ma; Jingjing Zhang; Chengwei Li; Zhenghui Li; Tingjian Wang;
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年度 2019
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1. Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features [J] . Liwei Zhan, Fang Ma, Jingjing Zhang, Sensors . 2019,第18期

机译：基于增强型互补经验模式分解的滚动轴承故障特征提取与诊断，自适应噪声和统计时域特征
2. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis [J] . Cheng Yao, Wang Zhiwei, Chen Bingyan, ISA Transactions . 2019,第期

机译：一种改进的互补集合经验模型分解，适自适应噪声及其在滚动元件轴承故障诊断中的应用
3. Bearing-fault diagnosis using non-local means algorithm and empirical mode decomposition-based feature extraction and two-stage feature selection [J] . Van Mien, Kang Hee-Jun Science, Measurement & Technology, IET . 2015,第6期

机译：使用非局部均值算法和基于经验模式分解的特征提取和两阶段特征选择进行轴承故障诊断
4. FEATURE EXTRACTION OF ROLLING BEARING FAULT BASED ON ENSEMBLE EMPIRICAL MODE DECOMPOSITION AND CORRELATION DIMENSION [C] . Lei Zhao, Zude Zhou, Yang Yin, ASME international manufacturing science and engineering conference . 2014

机译：基于经验模态分解和相关维的滚动轴承故障特征提取
5. Analysis of rolling element bearing faults in rotating machinery: Experiments, modeling, fault detection and diagnosis. [D] . Adams, Michael Louis. 2001

机译：旋转机械中滚动轴承故障的分析：实验，建模，故障检测和诊断。
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. Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model [O] . HongChao Wang, WenLiao Du 2020

机译：智能诊断滚动轴承复合故障基于设备状态词典集稀疏分解特征提取 - 隐藏马尔可夫模型
8. Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter. [R] . C. Ly H. Decker H. Khatri K. Ranney K. Tom 2010

机译：基于经验模态分解的特征与基于峰度的特征对直升机小齿轮裂纹检测的有效性。

Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features

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