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Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

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

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HongChao Wang; WenLiao Du;
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1. Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model [J] . HongChao Wang, WenLiao Du Advances in Mechanical Engineering . 2020,第6期

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
2. A weak fault feature extraction of rolling element bearing based on attenuated cosine dictionaries and sparse feature sign search [J] . Zhou Haoxuan, Li Hua, Liu Tao, ISA Transactions . 2020,第期

机译：基于衰减余弦词典和稀疏特征标志搜索的滚动元件轴承弱故障特征提取
3. Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning [J] . Sun Guodong, Gao Yuan, Lin Kai, Shock and vibration . 2019,第PTa11期

机译：基于字典学习的微生物Queezing变换和稀疏特征编码组合滚动轴承的细粒故障诊断方法
4. Sparse feature extraction based on sparse representation and dictionary learning for rolling bearing fault diagnosis [C] . Chang Liu, Xing Wu, Tao Liu IEEE International Conference on Applied System Innovation . 2017

机译：基于稀疏表示和字典学习的稀疏特征提取在滚动轴承故障诊断中的应用
5. Fault detection, diagnosis and prognosis of rolling element bearings: Frequency domain methods and hidden Markov modeling. [D] . Ocak, Hasan. 2004

机译：滚动轴承的故障检测，诊断和预测：频域方法和隐马尔可夫建模。
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. 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

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

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