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兰州理工大学 [33]

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	Stochastic resonance in image denoising as an alternative to traditional methods and deep learning 期刊论文 NONLINEAR DYNAMICS, 2022 作者: Shen, Mengen 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/19 Blind image denoising Monostable system Stochastic resonance Deep learning BM3D
	Recognition of weld defects from X-ray images based on improved convolutional neural network 期刊论文 Multimedia Tools and Applications, 2022, 卷号: 81, 期号: 11, 页码: 15085-15102 作者: Hu, Ande; Wu, Lijian; Huang, Jiankang; Fan, Ding; Xu, Zhenya 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/06/20 Chemical activation Convolution Convolutional neural networks Defects Image enhancement Image segmentation Processing Welds Activation functions Convolution neural network Convolutional neural network Exponential linear unit function Exponentials Linear units Pooling Unit functions Weld defects Weld defects recognition
	Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering 期刊论文 SHOCK AND VIBRATION, 2021, 卷号: 2021 作者: He, Tianjing; Zhao, Rongzhen; Wu, Yaochun; Yang, Chao 收藏 \| 浏览/下载：2/0 \| 提交时间：2021/10/14
	Bi-TLLDA and CSSVM based fault diagnosis of vehicle on-board equipment for high speed railway 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 卷号: 32, 期号: 8 作者: Wei, Wei; Zhao, Xiao-qiang 收藏 \| 浏览/下载：5/0 \| 提交时间：2021/10/14 fault diagnosis vehicle on-board equipment topic model text classification
	A Fault Diagnosis Method of Rotating Machinery Based on LBDP 期刊论文 Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 卷号: 32, 期号: 14, 页码: 1653-1658 and 1668 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/02/17 Dimensionality reduction Frequency domain analysis Machinery Nearest neighbor search Complex characteristics Dimensionality reduction algorithms Discriminant informations Fault classification Fault diagnosis method High dimensional feature K-nearest neighbor classifiers (KNN) Time frequency domain
	Fault feature extraction of rolling bearing integrating KPCA and t-SNE 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440 作者: Wang, Wang-Wang; Deng, Lin-Feng; Zhao, Rong-Zhen; Wu, Yao-Chun 收藏 \| 浏览/下载：67/0 \| 提交时间：2022/02/17 Clustering algorithms Data mining Extraction Feature extraction Frequency domain analysis Nearest neighbor search Stochastic systems Time domain analysis Fault feature extractions Feature extraction methods Global and local structures High dimensional feature K-nearest neighbor classifier Kernel principal component analyses (KPCA) Rolling bearing vibration Stochastic neighbor embedding
	A Method of Mechanical Fault Diagnosis Based on Locality Margin Discriminant Projection 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 126-132 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/04/12 Frequency domain analysis Nearest neighbor search Frequency domains K-nearest neighbor classifiers (KNN) Low dimensional Mechanical fault diagnosis Rotor vibrations Sensitive features Statistical characteristics Vibration signal
	Fault Feature Extraction Method For Rotor Fusion of IMF Singular Value Entropy and Improved LE 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 6, 页码: 1204-1211 作者: Sun, Zejin; Zhao, Rongzhen 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Entropy Extraction Feature extraction Learning algorithms Nearest neighbor search Statistical tests Ensemble empirical mode decompositions (EEMD) Fault feature extractions Fault identifications Intrinsic Mode functions K nearest neighbor (KNN) Manifold learning algorithm Probability distance Sensitive components
	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：10/0 \| 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

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