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Ingeniería Electrónica, Automática y Comunicaciones
versión On-line ISSN 1815-5928
Resumen
QUINONES GRUEIRO, Marcos; PRIETO-MORENO, Alberto y LLANES SANTIAGO, Orestes. A procedure to configure the FastICA algorithm in fault diagnosis on industrial systems. EAC [online]. 2014, vol.35, n.2, pp.73-89. ISSN 1815-5928.
Independent Component Analysis (ICA) is a statistical technique applied through the last ten years for dimensionality reduction in fault diagnosis on industrial systems. FastICA is the most popular algorithm in order to find the independent components. The independence measure and the feature selection criteria are two of the most important parameters to set on this algorithm. We propose in this paper a procedure to find a good combination of them based on achieve a good classification rate reducing the dimension of data the most possible. The proposed procedure is applied on the Tennessee Eastman Process plantas a model study.
Palabras clave : industrial processes; independent component analysis; fault diagnosis; dimensionality reduction.