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兰州理工大学 [54]

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期刊论文 [35]

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	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：36/0 \| 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
	Membrane fouling diagnosis of membrane components based on multi-feature information fusion 期刊论文 JOURNAL OF MEMBRANE SCIENCE, 2022, 卷号: 657 作者: Shi, Yaoke; Wang, Zhiwen; Du, Xianjun; Gong, Bin; Lu, Yanrong 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/07/19 MBR CBAM-MUL-CNN Feature fusion Attention mechanism Membrane fouling diagnosis
	Research on the membrane fouling diagnosis of MBR membrane module based on ECA-CNN 期刊论文 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2022, 卷号: 10, 期号: 3 作者: Shi, Yaoke; Wang, Zhiwen; Du, Xianjun; Ling, Guobi; Jia, Wenchao 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/06/21 Membrane fouling Convolutional neural network Attention mechanism Feature extraction Fault diagnosis
	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：17/0 \| 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
	Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data 期刊论文 IET Collaborative Intelligent Manufacturing, 2022, 卷号: 4, 期号: 1, 页码: 45-57 作者: Zhang, Zhongke; Li, Zhao; Zhao, Changzhong 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/04/21 Big data Display devices Failure analysis Fault detection Light emission Metadata Program debugging Trees (mathematics) Virtual private networks Cloud platforms Condition monitoring and faults diagnosis Electronics materials Fault prediction Faults diagnosis Manufacturing industries On condition monitoring Production line Window control center configuration Windows control centers
	Incipient fault detection and diagnosis of nonlinear industrial process with missing data 期刊论文 Journal of the Taiwan Institute of Chemical Engineers, 2022, 卷号: 132 作者: Mou, Miao; Zhao, Xiaoqiang 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/21 Data acquisition Embeddings Fault detection Matrix algebra Recovery Data missing Dissimilarity analysis Embeddings Fault detection and diagnosis Incipient faults Low rank matrix decomposition Low-rank matrices Matrix decomposition Mixed kernel function Neighborhood preserving embedding Neighbourhood
	Method to enhance deep learning fault diagnosis by generating adversarial samples 期刊论文 Applied Soft Computing, 2022, 卷号: 116 作者: Cao, Jie; Ma, Jialin; Huang, Dailin; Yu, Ping; Wang, Jinhua 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/04/21 Accident prevention Complex networks Convolutional neural networks Fault detection Generative adversarial networks Machinery Recurrent neural networks Signal to noise ratio Adversarial-signal generative adversarial network Convolutional neural network Fault diagnosis method Faults diagnosis Industrial fields Learning models Mechanical equipment Multilayers perceptrons Original sample Three models
	Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance 期刊论文 APPLIED INTELLIGENCE, 2022 作者: Xing, Ziyang; Zhao, Rongzhen; Wu, Yaochun; He, Tianjing 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/04/21 Deep learning Imbalanced data Fault diagnosis Loss function
	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：31/0 \| 提交时间：2022/03/01 Fault diagnosis Rotating machinery Hyper parameter optimization Feature self-extraction Transformer neural network Self attention mechanism
	Fault Classification Method of Rolling Bearing Based on Cloud Theory and ReliefHF 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 4, 页码: 667-672 作者: Ma, Sencai; Zhao, Rongzhen; Wu, Yaochun; DENG, Linfeng 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/02/17 Knowledge based systems Classification accuracy Classification methods Cloud classification Cloud distributions Fault classification Noise resistance Rolling bearings Weight coefficients

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