Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process

2020 ◽  
Vol 46 ◽  
pp. 101136 ◽  
Author(s):  
Xianhui Yin ◽  
Zhanwen Niu ◽  
Zhen He ◽  
Zhaojun(Steven) Li ◽  
Dong-hee Lee
Keyword(s):  
Deep Learning ◽  
Soft Sensor ◽  
Modeling Method ◽  
Quality Prediction ◽  
Preparation Process ◽  
Coal Preparation ◽  
Sensor Modeling

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

2020 ◽  
Vol 16 (6) ◽  
pp. 3721-3730 ◽  
Author(s):  
Xiaofeng Yuan ◽  
Jiao Zhou ◽  
Biao Huang ◽  
Yalin Wang ◽  
Chunhua Yang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Strategy ◽  
Soft Sensor ◽  
Feature Representation ◽  
Relevant Feature ◽  
Sensor Modeling

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

2018 ◽  
Vol 14 (7) ◽  
pp. 3235-3243 ◽  
Author(s):  
Xiaofeng Yuan ◽  
Biao Huang ◽  
Yalin Wang ◽  
Chunhua Yang ◽  
Weihua Gui
Keyword(s):  
Deep Learning ◽  
Soft Sensor ◽  
Feature Representation ◽  
Sensor Modeling

Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Xianglin Zhu ◽  
Khalil Ur Rehman ◽  
Wang Bo ◽  
Muhammad Shahzad ◽  
Ahmad Hassan
Keyword(s):  
Deep Learning ◽  
Soft Sensor ◽  
Data Driven ◽  
Industrial Processes ◽  
Quality Prediction ◽  
Model Based ◽  
Sensor Model

Research and application of biological potency soft sensor modeling method in the industrial fed-batch chlortetracycline fermentation process

2018 ◽  
Vol 22 (S3) ◽  
pp. 6019-6030 ◽  
Author(s):  
Yu-mei Sun ◽  
Ni Du ◽  
Qiao-yan Sun ◽  
Xiang-guang Chen ◽  
Jian-wen Yang
Keyword(s):  
Fermentation Process ◽  
Soft Sensor ◽  
Modeling Method ◽  
Fed Batch ◽  
Biological Potency ◽  
Sensor Modeling
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