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科研机构

兰州理工大学 [8]

自动化研究所 [6]

沈阳自动化研究所 [4]

合肥物质科学研究院 [3]

力学研究所 [1]

西北高原生物研究所 [1]

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期刊论文 [22]

会议论文 [2]

发表日期

2022 [24]

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浏览/检索结果: 共24条，第1-10条

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发表日期：2022

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	Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10 作者: Wang, Xingxia; Cheng, Xiang; Lu, Jingwei; Kwan, Oliver; Li, Shixing 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/02/22 Artificial systems computational experiments and parallel executions (ACP) approach Cyber-physical-social systems (CPSS) digital workers fault diagnosis metaverses-based parallel oil fields parallel systems
	Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM 期刊论文 FUSION ENGINEERING AND DESIGN, 2022, 卷号: 185 作者: Guo, Xinpeng; Lu, Kun; Cheng, Yong; Zhao, Wenlong; Wu, Huapeng 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/12/23 CFETR Hydraulic system Fault simulation Fault diagnosis CNN-LSTM
	Question Answering Algorithm for Grid Fault Diagnosis based on Graph Neural Network 会议论文 Guangzhou, China, 2022-12 作者: Yu Yahan; Wang Yun; Zhang Guigang; Yang Yi; Wang Jian 收藏 \| 浏览/下载：9/0 \| 提交时间：2023/06/02
	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
	Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文 MEASUREMENT, 2022, 卷号: 199, 页码: 7 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Huanjie 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/25 Intelligent fault diagnosis Few-shot learning Anti-noise Compound faults Working condition variation
	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：13/0 \| 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
	Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Jiaxing 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/07/25
	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; Yang, Jianhua; Jiang, Wenbo; Sanjuan, Miguel A. F.; Zheng, Yuqiao 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/07/19 Blind image denoising Monostable system Stochastic resonance Deep learning BM3D
	Label-Free Detection and Translocation Dynamics Study of Single-Molecule Herceptin Using Solid-State Nanopores 期刊论文 ADVANCED MATERIALS TECHNOLOGIES, 2022 作者: Hu, Rui; Lu, Wenlong; Wei, Guanghao; Nan, Hexin; Li, Juan 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/12/23 solid-state nanopore single-molecule detection protein dynamics monoclonal antibody protein unfolding
	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：13/0 \| 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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