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科研机构
兰州理工大学 [11]
内容类型
期刊论文 [11]
发表日期
2022 [11]
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共11条,第1-10条
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发表日期:2022
专题:兰州理工大学
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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: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
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:22/0
  |  
提交时间:2022/07/19
MBR
CBAM-MUL-CNN
Feature fusion
Attention mechanism
Membrane fouling diagnosis
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
基于集成学习的电动汽车充电站超短期负荷预测
期刊论文
上海交通大学学报, 2022, 页码: 1-10
作者:
李恒杰
;
朱江皓
;
傅晓飞
;
方陈
;
梁达明
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/07/19
电动汽车充电站
充电负荷
超短期预测
集成学习
经济性
Improved YOLO v5 Wheat Ear Detection Algorithm Based on Attention Mechanism
期刊论文
ELECTRONICS, 2022, 卷号: 11, 期号: 11
作者:
Li, Rui
;
Wu, Yanpeng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/21
wheat ear
deep learning
CBAM
YOLO v5
detection and counting
Recognition of weld defects from X-ray images based on improved convolutional neural network
期刊论文
Multimedia Tools and Applications, 2022, 卷号: 81, 期号: 11, 页码: 15085-15102
作者:
Hu, Ande
;
Wu, Lijian
;
Huang, Jiankang
;
Fan, Ding
;
Xu, Zhenya
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/06/20
Chemical activation
Convolution
Convolutional neural networks
Defects
Image enhancement
Image segmentation
Processing
Welds
Activation functions
Convolution neural network
Convolutional neural network
Exponential linear unit function
Exponentials
Linear units
Pooling
Unit functions
Weld defects
Weld defects recognition
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:14/0
  |  
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
Content-based encrypted speech retrieval scheme with deep hashing
期刊论文
Multimedia Tools and Applications, 2022, 卷号: 81, 期号: 7, 页码: 10221-10242
作者:
Zhang, Qiu-yu
;
Zhao, Xue-jiao
;
Zhang, Qi-wen
;
Li, Yu-zhou
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/04/21
Binary codes
Convolutional neural networks
Cryptography
Deep neural networks
Efficiency
Extraction
Feature extraction
Hamming distance
Information retrieval
Mapping
Semantic Web
Semantics
Spectrographs
Speech
Content-based
Convolutional neural network
Deep hashing
Deep semantic feature
Encrypted speech
Encrypted speech retrieval
Semantic features
Spectrograms
Speech retrieval
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:10/0
  |  
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
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:9/0
  |  
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
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