01518nab a2200205 4500 20260520001751.0 260224s2009 xxu Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant mayo 2009 07/06/2010 ; 07/06/2010 8 p. ; 33-41 Transcripción del resumen del autor. Multivariable correlation analysis (MVCA) is a powerful tool in the field of system identification, especially where only normal operational data with simultaneous disturbance and input variations, all with some degree of correlation, are present. This paper presents the application of a MVCA technique for the prediction of C3 concentration in the outlet stream of the deethanizer tower (outlet stream of a liquefied gas natural plant). This is a variable whose prediction and inference is of great importance in the correct control of the unit. Good results are obtained with a non parametric MISO (Multiple Input Single Output) model (impulse response) provided by the multivariable correlation technique using real data from a commercial plant. This paper also suggests a procedure to handle output data whose sampling rate is lower than input sampling. 1-2 Journal of Petroleum Science & Engineering 66 ARTICULO Santos, R 42198 Almeida Neto, J. F. 42199 Campos, M. 18560 170752 170752 0 0 0 0 238571 BAAB BAAB 2026-03-05 200045605 0 200045605 2026-03-05 15:12:55 2026-03-05 ARTICULO