Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics

Traditional onefold data-driven methods for fault detection in complex process industrial systems with high-dimensional, linear, nonlinear, Gaussian, and non-Gaussian coexistence often have less than satisfactory monitoring performance because only a single distribution of process variables is consi...

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Veröffentlicht in:	International Journal of Chemical Engineering Jg. 2022; H. 1
Hauptverfasser:	Xu, Chenxing, Yasenjiang, Jiarula, Cui, Pengfei, Zhang, Shengpeng, Zhang, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Hindawi 2022 John Wiley & Sons, Inc Wiley
Schlagworte:	Bayesian analysis Continuously stirred tank reactors Decomposition Eigenvalues Fault detection Feature extraction Independent component analysis Kernels Methods Monitoring Normal distribution Principal components analysis Process variables Statistical inference Statistics Variables
ISSN:	1687-806X, 1687-8078
Online-Zugang:	Volltext
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