A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis

Process monitoring plays an important role in chemical process safety management, and fault diagnosis is a vital step of process monitoring. Among fault diagnosis researches, supervised ones are inappropriate for industrial applications due to the lack of labeled historical data in real situations....

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Bibliographic Details

Published in:	Computers & chemical engineering Vol. 135; p. 106755
Main Authors:	Zheng, Shaodong, Zhao, Jinsong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 06.04.2020
Subjects:	Clustering Data mining Fault diagnosis The SAE The TEP Unsupervised Fault diagnosis The TEP Unsupervised The SAE Data mining Clustering
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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