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	Intelligent identification of incipient rolling bearing faults based on VMD and PCA-SVM 期刊论文 ADVANCES IN MECHANICAL ENGINEERING, 2022, 卷号: 14, 期号: 1 作者: Deng, Linfeng; Zhang, Aihua; Zhao, Rongzhen 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/03/01 Incipient rolling bearing faults intelligent identification energy and kurtosis variational mode decomposition principal component analysis support vector machine
	SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2121-2137 作者: Linfeng Tang; Yuxin Deng; Yong Ma; Jun Huang; Jiayi Ma 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/12/02 Global spatial attention image fusion image registration mutual promotion semantic awareness
	Observation of thickness-tuned universality class in superconducting beta - W thin films 期刊论文 SCIENCE BULLETIN, 2021, 卷号: 66 作者: Huang, Ce; Zhang, Enze; Zhang, Yong; Zhang, Jinglei; Xiu, Faxian 收藏 \| 浏览/下载：44/0 \| 提交时间：2021/11/01 Quenched disorder Quantum criticality Universality class quantum Griffiths singularity
	Fault Classification Method of Rolling Bearing Based on Cloud Theory and ReliefHF 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 4, 页码: 667-672 作者: Ma, Sencai; Zhao, Rongzhen; Wu, Yaochun; DENG, Linfeng 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/02/17 Knowledge based systems Classification accuracy Classification methods Cloud classification Cloud distributions Fault classification Noise resistance Rolling bearings Weight coefficients
	Rolling Bearing Fault Identification Based on Quantum-Behaved Particle Swarm Optimization and Multi-scale Permutation Entropy 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 62-68 作者: Wang, Wangwang; Deng, Linfeng; Zhao, Rongzhen; Zhang, Aihua 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/04/12 Clustering algorithms Entropy Fuzzy clustering Particle swarm optimization (PSO) Signal reconstruction Ensemble empirical mode decompositions (EEMD) Fault feature extractions Fault recognition Intrinsic Mode functions Permutation entropy Quantum-behaved particle swarm optimization Rolling bearings Vibration signal
	Multilanguage-handwriting self-powered recognition based on triboelectric nanogenerator enabled machine learning 会议论文作者: Zhang, Weiqiang; Deng, Linfeng; Yang, Lei; Yang, Ping; Diao, Dongfeng 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/12/18 Machine learning Nanogenerators Nanotechnology Textures TriboelectricityChinese characters Classification accuracy Handwriting recognition Handwriting signal Machine learning methods Micro/nanostructures Private information Signature identification
	Multilanguage-handwriting self-powered recognition based on triboelectric nanogenerator enabled machine learning 期刊论文 Nano Energy, 2020, 卷号: 77 作者: Zhang, Weiqiang; Deng, Linfeng; Yang, Lei; Yang, Ping; Diao, Dongfeng 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/11/14 Machine learning Nanogenerators Nanotechnology Textures Triboelectricity Chinese characters Classification accuracy Handwriting recognition Handwriting signal Machine learning methods Micro/nanostructures Private information Signature identification
	Weak fault feature extraction of rolling bearing based on secondary clustering segmentation and Teager energy spectrum 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 13, 页码: 246-253 作者: Wang, Wangwang; Deng, Linfeng; Zhao, Rongzhen; Zhang, Aihua 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/14 Bandpass filters Clustering algorithms Copying Fourier transforms Fuzzy clustering Higher order statistics Inverse problems Inverse transforms Signal processing Spectroscopy Time domain analysis Clustering segmentation Different frequency Fuzzy C-means algorithms Inverse Fourier transforms Periodic components Simulation analysis Teager energy operators Weak fault feature extraction
	Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson-Kessel Clustering 期刊论文 Shock and Vibration, 2020, 卷号: 2020 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Deng, Linfeng; He, Tianjing 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/02/18 Clustering algorithms Convolution Convolutional neural networks Deep learning Deep neural networks Failure analysis Roller bearings Stochastic systems
	Weak Fault Feature Extraction Method for Rolling Bearings Based on SVD-EEMD and TEO Energy Spectrum 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 4, 页码: 720-726 作者: Zhang, Chen; Zhao, Rongzhen; Deng, Linfeng; Wu, Yaochun 收藏 \| 浏览/下载：10/0 \| 提交时间：2020/11/14 Extraction Feature extraction Fourier series Mean square error Phase space methods Signal processing Singular value decomposition Spectroscopy Energy spectra Ensemble empirical mode decompositions (EEMD) Intrinsic Mode functions Mean square error criterions Phase space reconstruction Sensitive features Teager energy operators Weak fault feature extraction

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