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沈阳自动化研究所 [20]

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	Intelligent monitoring and diagnosis of telescope image quality 期刊论文 Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 3541–3550 作者: Hu TZ(胡天柱); Zhang Y(张勇); Cui XQ(崔向群) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/19 methods: data analysis methods: numerical techniques: image processing software: data analysis
	Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18 作者: Wang, Huanjie; Li, Yuan; Bai, Xiwei; Li, Jingwei; Tan, Jie 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	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：14/0 \| 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：14/0 \| 提交时间：2022/07/19 Blind image denoising Monostable system Stochastic resonance Deep learning BM3D
	Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Wang, Sihan; Tan, Jie; Liu, Chengbao 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/06 Fault diagnosis Data models Task analysis Representation learning Adaptation models Training data Training Convolutional neural network (CNN) data-driven fault diagnosis domain generalization (DG) model-agnostic learning rolling bearing
	A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis 期刊论文 Archives of Computational Methods in Engineering, 2022, 卷号: 29, 期号: 1, 页码: 609-639 作者: Li, Yixin; Li, Chen; Li, Xiaoyan; Wang K(王锴); Rahaman, Md Mamunur 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/05/25
	Fault diagnosis based on SPBO-SDAE and transformer neural network for rotating machinery 期刊论文 MEASUREMENT, 2022, 卷号: 188 作者: Du, Xianjun; Jia, Liangliang; Ul Haq, Izaz 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/03/01 Fault diagnosis Rotating machinery Hyper parameter optimization Feature self-extraction Transformer neural network Self attention mechanism

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