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科研机构
过程工程研究所 [2]
兰州理工大学 [1]
沈阳自动化研究所 [1]
合肥物质科学研究院 [1]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2021 [5]
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Metal-Based Additive Manufacturing Condition Monitoring: A Review on Machine Learning Based Approaches
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021
作者:
Zhu, Kunpeng
;
Fuh, Jerry Ying Hsi
;
Lin, Xin
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/01/25
Feature extraction
Process monitoring
Three-dimensional printing
Powders
Condition monitoring
Buildings
Metals
Condition monitoring
machine learning
metal-based additive manufacturing (MAM)
Decomposition Mechanism of Lanthanum Phosphate Roasted with Magnesium Chloride
期刊论文
Xiyou Jinshu/Chinese Journal of Rare Metals, 2021, 卷号: 45, 期号: 8, 页码: 980-988
作者:
Ma, Shengfeng
;
Xu, Yanhui
;
Guo, Wenliang
;
Wang, Rong
;
Huang, Jimin
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/02/17
Beryllium compounds
Calcination
Chemical analysis
Chlorine compounds
Decomposition
Free energy
Gibbs free energy
Magnesia
Monazite
Ore roasting
Oxide minerals
Phosphate minerals
Rare earths
Scanning electron microscopy
Sodium hydroxide
Temperature
Thermogravimetric analysis
Waste treatment
X ray diffraction
Concentrated sulfuric acids
Decomposition mechanism
Decomposition process
Decomposition products
Energy dispersive analysis
Environmental pollutions
Rare earth extraction
Thermodynamic calculations
Review of Vanadium Production Part I: Primary Resources
期刊论文
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW, 2021, 页码: 23
作者:
Gao, Feng
;
Olayiwola, Afolabi Uthmon
;
Liu, Biao
;
Wang, Shaona
;
Du, Hao
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  |  
浏览/下载:17/0
  |  
提交时间:2021/08/31
Vanadium resources
vanadium extraction process
extraction mechanism of vanadium
comprehensive utilization of resources
Dispersed-Phase Holdup and Characteristic Velocity in an Agitated-Pulsed Solvent Extraction Column
期刊论文
CHEMICAL ENGINEERING & TECHNOLOGY, 2021, 页码: 15
作者:
Tan, Boren
;
Li, Longxiang
;
Lan, Minle
;
Wang, Yong
;
Qi, Tao
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  |  
浏览/下载:36/0
  |  
提交时间:2021/03/29
Agitated‐
pulsed column
Dispersed‐
phase holdup
Process intensification
Solvent extraction
Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process
会议论文
Chengdu, China, December 17-18, 2021
作者:
Yang SJ(阳少杰)
;
Li P(里鹏)
;
Li S(李帅)
;
Zhou XF(周晓锋)
;
Jiang, Shanghong
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  |  
浏览/下载:6/0
  |  
提交时间:2022/04/13
industrial process
fault diagnosis
multi-scale feature extraction
deep neural networks
variational mode decomposition
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