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沈阳自动化研究所 [16]
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Deep convolutional neural network based on self-distillation for tool wear recognition
期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:
Pan, Yi
;
Hao, Ling
;
He, Jianliang
;
Ding, Kun
;
Yu, Qiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/03/27
Tool fault diagnosis
Mobile inspection robots
Self-distillation
Industry 4.0
Deep learning
Bandwidth-efficient multi-task AI inference with dynamic task importance for the Internet of Things in edge computing
期刊论文
COMPUTER NETWORKS, 2022, 卷号: 216, 页码: 13
作者:
Zhang, Jianfeng
;
Zhang, Wensheng
;
Xu, Jingdong
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  |  
浏览/下载:32/0
  |  
提交时间:2023/01/09
Internet of Things
Edge computing
Edge intelligence
Multi-task learning
A light defect detection algorithm of power insulators from aerial images for power inspection
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
作者:
Yang, Lei
;
Fan, Junfeng
;
Song, Shouan
;
Liu, Yanhong
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  |  
浏览/下载:24/0
  |  
提交时间:2022/07/25
Insulator location
Defect identification
Transfer learning
Dempster-Shafer evidence theory
Visual inspection system for battery screen print using joint method with multi-level block matching and K nearest neighbor algorithm
期刊论文
Optik, 2022, 卷号: 250
作者:
Zhao, Zhuo
;
Li, Bing
;
Liu, Tongkun
;
Zhang, Shaojie
;
Lu, Jiasheng
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  |  
浏览/下载:65/0
  |  
提交时间:2021/12/07
Machine vision
Defect inspection
Template matching
Active shape model
K nearest neighbor
Bearing Defect Detection with Unsupervised Neural Networks
期刊论文
SHOCK AND VIBRATION, 2021, 卷号: 2021
作者:
Xu, Jianqiao
;
Zuo, Zhaolu
;
Wu, Danchao
;
Li, Bing
;
Li, Xiaoni
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  |  
浏览/下载:15/0
  |  
提交时间:2021/11/01
A Review on State-of-the-Art Power Line Inspection Techniques
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 12, 页码: 9350-9365
作者:
Yang, Lei
;
Fan, Junfeng
;
Liu, Yanhong
;
Li, En
;
Peng, Jinzhu
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  |  
浏览/下载:33/0
  |  
提交时间:2021/01/06
Inspection
Poles and towers
Task analysis
Insulators
Smart grids
Feature extraction
Inspection methods
inspection platforms
inspection sensors
inspection task
power line inspection
Research on equipment fault prediction expert system based on big data dimension reduction
会议论文
Jinan, Virtual, China, June 19, 2020 - June 21, 2020
作者:
Zhu, Ningning
;
Song, Bin
;
Lu, Yan
;
Li, Yingtang
;
Zhu, Zhongzheng
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  |  
浏览/下载:10/0
  |  
提交时间:2020/12/18
Backpropagation
Big data
Crude oil
Dimensionality reduction
Expert systems
Fluid catalytic cracking
Forecasting
Fuzzy inference
Fuzzy logic
Fuzzy neural networks
Heavy oil production
Nonlinear control systems
Pattern recognition systemsData dimension reduction
Dimension reduction
Error back propagation
Heavy oil catalytic cracking
Inspection and maintenance
Petrochemical enterprise
Physical information
Prediction accuracy
Using two feed-forward layers for fault detection of hole
会议论文
Journal of Physics: Conference Series, 2018-05-12
作者:
Nyame, Y.D.
;
Yuan, P.
;
Kaoubara, A.
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Fault detection
Inspection equipment
Machining
Statistical tests
Aerospace manufacturing
Aircraft manufacturing
Automated assembly
Convolution neural network
Inspection system
Machining Accuracy
Visual inspection
Visual inspection systems
Inspection
Detection of Single Event Transients based on Compressed Sensing
会议论文
Australia
作者:
Cuiping Shao
;
Huiyun Li
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/02/02
Identifying Single Event Transients Location based on Compressed Sensing
期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2017
作者:
Cuiping Shao
;
Huiyun Li
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/02/02
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