Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling-Reference-Cited by-同舟云学术

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Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling

Published:2022-04 Issue: Volume:52 Page:101590
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wang Yalin,Liu Diju,Liu Chenliang,Yuan Xiaofeng,Wang Kai,Yang Chunhua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference32 articles.

1. A review on soft sensors for monitoring, control, and optimization of industrial processes;Jiang;IEEE Sens. J.,2020

2. Soft sensors for product quality monitoring in debutanizer distillation columns;Fortuna;Control Eng. Pract.,2005

3. Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction;Wang;Adv. Eng. Inf.,2018

4. Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process;Yin;Adv. Eng. Inf.,2020

5. Learning deep multi-manifold structure feature representation for quality prediction with an industrial application;Liu;IEEE Trans. Ind. Inf.,2021

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