QQ客服 官方微博 反馈留言

浏览/检索结果: 共3条，第1-3条 帮助 限定条件 发表日期：2022     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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   A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 1167-1181 作者:  Yu, Yingying;  Cao, Zhiqiang;  Liu, Zhicheng;  Geng, Wenjie;  Yu, Junzhi 收藏  |  浏览/下载：16/0  |  提交时间：2022/06/06 Grasping  Robot kinematics  Manipulators  Image segmentation  Deconvolution  Machine learning  Global deconvolution network (GDN)  robotic grasping  simultaneous detection and segmentation  two-stream grasping convolutional neural network (CNN)   A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 卷号: 33, 期号: 1, 页码: 1-17 作者:  Wang Y(王煜);  Gao J(高洁);  Wang W(王伟);  Du JS(杜劲松);  Yang X(杨旭) 收藏  |  浏览/下载：9/0  |  提交时间：2021/11/08 domain adaptation  bearing fault diagnosis  adversarial network  attention mechanism