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

In modern industrial processes, soft sensors have played an important role for effective process control, optimization, and monitoring. Feature representation is one of the core factors to construct accurate soft sensors. Recently, deep learning techniques have been developed for high-level abstract...

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Bibliographic Details
Published in:	IEEE transactions on industrial informatics Vol. 14; no. 7; pp. 3235 - 3243
Main Authors:	Yuan, Xiaofeng, Huang, Biao, Wang, Yalin, Yang, Chunhua, Gui, Weihua
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.07.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Correlation analysis Data mining Deep learning Feature extraction Feature recognition Industrial applications Informatics Machine learning Monitoring Multilayers Neural networks output prediction Pattern recognition Process control Representations Sensors soft sensor stacked autoencoder (SAE) Training variable-wise weighted SAE (VW-SAE)
ISSN:	1551-3203, 1941-0050
Online Access:	Get full text
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