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清华大学 [20]

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	Dynamics analysis and vibration suppression of a spatial rigid-flexible link manipulator based on transfer matrix method of multibody system 期刊论文 NONLINEAR DYNAMICS, 2022 作者: Shi, Mingming; Rong, Bao; Liang, Jing; Zhao, Wenlong; Pan, Hongtao 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/12/23 Spatial rigid-flexible manipulator Joint trajectory optimization RBF interpolation Transfer matrix method
	Research on vibration suppression and trajectory tracking control strategy of a flexible link manipulator 期刊论文 APPLIED MATHEMATICAL MODELLING, 2022, 卷号: 110 作者: Shi, Mingming; Cheng, Yong; Rong, Bao; Zhao, Wenlong; Yao, Zhixin 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/12/23 Flexible link manipulator Dynamics modeling Residual vibration suppression Crossbreeding PSO algorithm Trajectory tracking
	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
	Microstructure and Mechanical Properties of Ti-Ta Composites Prepared Through Cold Spray Additive Manufacturing 期刊论文 ACTA METALLURGICA SINICA-ENGLISH LETTERS, 2022, 页码: 12 作者: Tang, Junrong; Tariq, Naeem ul Haq; Zhao, Zhipo; Guo, Mingxiao; Liu, Hanhui 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/07/01 Ti-Ta composites Cold spray additive manufacturing (CSAM) Biomaterials Mechanical properties X-ray computed tomography (XCT)
	Vibration suppression of collaborative robot based on modified trajectory planning 期刊论文 INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 页码: 1-11 作者: Tian, Yong; Yue X(岳湘); Wang, Lin; Feng, Yan 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/07 Collaborative robot Flexibility Vibration suppression Trajectory planning
	Multi-scale dynamic adaptive residual network for fault diagnosis 期刊论文 MEASUREMENT, 2022, 卷号: 188 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/03/01 Fault detection and classification Vibration Signals Bearing Defects Residual network Multi-scale dynamic adaptive residual network
	Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71 作者: Liang, Haopeng; Cao, Jie; Zhao, Xiaoqiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/20 Deep neural networks Failure analysis Fault detection Feature extraction Gears Rotating machinery Average descent rate singular value decomposition Convolutional neural network Deep learning Faults diagnosis Features extraction Gramian angular difference field Gramians Neural-networks Noise measurements Two-dimensional Two-dimensional residual neural network Vibration
	The structural origin of the 15 mu m residual absorption in the BaGa4Se7 crystal 期刊论文 JOURNAL OF MATERIALS CHEMISTRY C, 2021 作者: Jiang, Shengjie; Wan, Songming; Luo, Wen; Li, Bin; Yao, Jiyong 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/01/10
	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
	Fault Monitoring Method of Wind Turbine Main Bearing 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415 作者: Zheng, Yuqiao; Wei, Jianfeng; Zhu, Kai; Dong, Bo 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/02/17 Bearings (machine parts) Forecasting Linear regression Monitoring Sliding mode control Statistics Support vector machines Support vector regression Wind turbines Change of temperatures Combination forecasting models Determination coefficients Mean and standard deviations Multiple linear regression models Multivariate linear regression model Sliding window methods Support vector machine regressions

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