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Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery

机译：具有自组织映射的歧管学习，用于旋转机械中非线性故障特征提取

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Lin Liang; Fei Liu; Maolin Li; Guanghua Xu;
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年度 2015
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1. Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery [J] . Liang Lin, Liu Fei, Li Maolin, Mathematical Problems in Engineering . 2015,第PTa19期

机译：具有自组织映射的流形学习用于旋转机械非线性故障特征提取
2. Fast time-frequency manifold learning and its reconstruction for transient feature extraction in rotating machinery fault diagnosis [J] . Ding Xiaoxi, Li Quanchang, Lin Lun, Measurement . 2019,第期

机译：旋转机械故障诊断中瞬态特征提取的快速时频歧管学习及其重构
3. Fault feature enhancement for rotating machinery based on quality factor analysis and manifold learning [J] . Gan Meng, Wang Cong, Zhu Changan Journal of Intelligent Manufacturing . 2018,第2期

机译：基于质量因子分析和多媒体学习的旋转机械故障特征增强
4. Fault Feature Extraction of Rotating Machinery Based on Wavelet Transform and Self-organizing Map Network [C] . Maofa Gong, Xiaoming Zhang, Qingxue Liu, World Congress on Intelligent Control and Automation;WCICA 2010 . 2010

机译：基于小波变换和自组织图网络的旋转机械故障特征提取
5. Rotating machinery monitoring: Feature extraction, signal separation, and fault severity evaluation. [D] . Hong, Hoonbin. 2007

机译：旋转机械监控：特征提取，信号分离和故障严重性评估。
6. Application of multi-layer denoising based on ensemble empirical mode decomposition in extraction of fault feature of rotating machinery [O] . Kangping Gao, Xinxin Xu, Jiabo Li, 2021

机译：多层去噪的应用基于集合经验模式分解在旋转机械的故障特征提取中的应用
7. Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery [O] . Jiejunyi Liang, Jian-Hua Zhong, Zhi-Xin Yang 2017

机译：旋转机械周期和不规则故障的相关EEmD和有效特征提取

Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery

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