Infrared Thermographic Fault Detection Using Machine Vision With Convolutional Neural Network for Blast Furnace Chute
Author:
Affiliation:
1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09933465.pdf?arnumber=9933465
Reference64 articles.
1. Deep Multimodel Cascade Method Based on CNN and Random Forest for Pharmaceutical Particle Detection
2. Real-Time Classification of Rubber Wood Boards Using an SSR-Based CNN
3. A novel intelligent fault diagnosis method for electrical equipment using infrared thermography
4. Predictive Maintenance of Power Substation Equipment by Infrared Thermography Using a Machine-Learning Approach
5. Research on defect detection method of powder metallurgy gear based on machine vision
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Forecasting Future Trajectories in Rubber Technology Using Machine Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
2. A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope;IEEE/CAA Journal of Automatica Sinica;2024-04
3. NOLSAGAN: A NO-Label Self-Attention Segmentation Method Based on Feature Reconstruction Using Generative Adversarial Networks for Optical Fiber End-Face;IEEE Transactions on Instrumentation and Measurement;2024
4. Angle Diagnosis of Blast Furnace Chute Through Deep Learning of Temporal Images;IEEE Transactions on Instrumentation and Measurement;2024
5. Research on Information Extraction and Classification of Color and Texture Visual Features of Artificial Board Wood Grain Veneer Based on Machine Vision;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3