Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

Due to the existence of complex disturbances and frequent switching of operational conditions characteristics in the real industrial processes, the process data under different operational conditions subject to different distributions, which means there exist different manifold structures under broa...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 18; H. 9; S. 5849 - 5858
Hauptverfasser:	Liu, Chenliang, Wang, Kai, Wang, Yalin, Yuan, Xiaofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.09.2022
Schlagworte:	Data processing Feature extraction Hydrocracking Industrial applications Machine learning Manifolds Regularization Representations
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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