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	A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14 作者: Hou X(侯旭); Du FJ(杜福嘉); Huang K(黄康) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/18 Comb filter kernel(CF-kernel) motor current signal analysis convolutional neural network(CNN) fault diagnosis limited training sample
	Force measurement using strain-gauge balance in shock tunnel based on deep learning 期刊论文 CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53 作者: Nie SJ(聂少军); Wang YP(汪运鹏); Jiang ZL(姜宗林) 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/02/26 Convolutional neural net-works Deep learning Frequency domain analysis Force measurement Time domain analysis Recurrent neural networks
	Multi-Position Measurable Flow Velocity Sensor for Microfluidic Applications 期刊论文 IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 2, 页码: 1 作者: Hao, Yansheng; Fang, Chaoying; Yuan, Yapeng; Okano, Kazunori; Yasukuni, Ryohei 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/04/14 Femtosecond laser flow velocity microfluidic device ultrathin glass fabrication
	Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14 作者: Chen, Minghao; Tian, Yunong; Li, Zhishuo; Li, En; Liang, Zize 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/17 Shock absorbers Vibrations Object detection Proposals Training Sampling methods Convolutional neural networks Instance balance multiple instance learning (MIL) progressive sampling vibration damper detection weakly supervised object detection (WSOD)
	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202 作者: Du, Xianjun; Jia, Wenchao; Yu, Ping; Shi, Yaoke; Cheng, Shengyi 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/09/22 Convolution Forecasting Preventive maintenance Rotating machinery Vibrations (mechanical) Wavelet transforms Attention mechanisms Continuous Wavelet Transform Convolutional neural network Degradation trend Feature map Remaining useful life predictions Rolling bearings Spectral feature Time frequency Time–frequency spectral feature map
	Real-time identification of performance degradation stages of rolling element bearings by RVCFI 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Meng, Jiadong; Yan, Changfeng; Wen, Tao; Wang, Zonggang; Chen, Guangyi 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/06/20 Condition based maintenance Condition monitoring Degradation Singular value decomposition Degradation stages Envelope spectra Fault time Initial faults Monitoring indicators Performance degradation Performance degradation stage Rate of variation coefficient of fused indicator Rolling Element Bearing Variation coefficient
	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	ThreeDimensional Topography Analysis and Power Spectral Density Characterization of Nonuniform Scroll Teeth 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 322-327 作者: Liu, Tao; Li, Yinping; Sun, Yongji 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/06/20 Power spectral density Topography Changing regularity Machining quality Non-uniform Non-uniform scroll tooth One-dimensional Power spectral analysis Power spectral density method Three-dimensional topography Topography images Two-dimensional
	Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Xing, Ziyang 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Machinery Class spaces Convolutional neural network Fault identifications Identification method Imbalanced data Intelligent fault diagnosis Min-max Min-max objective func-tion Net work Objective functions

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