Detecting and isolating multiple plant-wide oscillations via spectral independent component analysis

DOI10.1016/J.AUTOMATICA.2005.02.011zbMath1100.93518OpenAlexW1980862601MaRDI QIDQ2576153

Yanyan Li

Publication date: 8 December 2005

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10044/1/15168

zbMATH Keywords

Process controlPrincipal component analysisMultivariate analysisOscillationSpectral analysisFault diagnosisPower spectrumIndependent component analysisChemical industryPlant-wide disturbance

Mathematics Subject Classification ID

System identification (93B30) Application models in control theory (93C95)

Related Items (3)

A hybrid ICA-SVM approach for determining the quality variables at fault in a multivariate process ⋮ Process monitoring using a generalized probabilistic linear latent variable model ⋮ Geometric properties of partial least squares for process monitoring

Uses Software

• FastICA

Cites Work

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• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Independent component analysis, a new concept?
• Adaptive blind separation of independent sources: A deflation approach

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