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A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion
期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 21
作者:
Mao, Yixuan
;
Li, Xiaorong
;
Duan, Menglan
;
Feng, Yongcun
;
Wang, Jinjia
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/29
Mooring line anomaly detection
Residual network
Feature fusion
Semi-submersible platform
Application of artificial neural networks throughout the entire life cycle of coatings: A comprehensive review
期刊论文
PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 189, 页码: 22
作者:
Ning, Zenglei
;
Zhao, Xia
;
Fan, Liang
;
Peng, Zhongbo
;
Ma, Fubin
收藏
  |  
浏览/下载:0/0
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提交时间:2024/06/04
Artificial neural networks
Formulation design
Preparation process
micro defects
Service life
Formation-evolutionary mechanism of large debris flow in semi-arid region, the northeastern Tibetan Plateau
期刊论文
LANDSLIDES, 2024, 页码: 16
作者:
Jiang, Zhenni
;
Wang, Jiao
;
Zhou, Liqin
;
Yuan, Runjie
;
Wei, Tao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/05/06
Large debris flow
Semi-arid region
Formation mechanism
Extreme precipitation
Permafrost
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:
Yu Xi
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  |  
浏览/下载:2/0
  |  
提交时间:2023/09/25
Insulator defect, object detection, Swin transformer, data augmentation, context information
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
An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 卷号: 41, 期号: 8, 页码: 179-187
作者:
Chen, Peng
;
Zhao, Xiaoqiang
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/06/20
Failure analysis
Fault detection
Spectrum analysis
Bearing
Composite fault
Early composite fault diagnose
Envelope spectra
Faults diagnosis
Grasshopper optimization algorithm
Negentropy
Optimization algorithms
Square envelope spectrum negentropy
Swarm decomposition
ARFNet: adaptive receptive field network for detecting insulator self-explosion defects
期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
作者:
Zhang, Ke
;
Qian, Shaowei
;
Zhou, Jianan
;
Xie, Chengjun
;
Du, Jianming
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/05/16
Insulator self-explosion
Object detection
Adaptive receptive field network
Attention mechanism
Deep learning
Investigating the effects of environment, corrosion degree, and distribution of corrosive microbial communities on service-life of refined oil pipelines
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 页码: 16
作者:
Wang, Zhengquan
;
Li, Yantao
;
Ren, Jie
;
Xu, Weichen
;
Yang, Lihui
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/04/12
Refined oil pipeline
Sediment
Microbial communities
Microbiologically influenced corrosion
Corrosion zone
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
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