000			01518nab a2200205 4500
005			20260520001751.0
008			260224s2009 xxu
245	0	0	_aMultivariable correlation analysis with low sampling rate in output and its application in an LNG plant
260			_a _b _cmayo 2009
270			_a07/06/2010 ; 07/06/2010
300			_a8 p. ; 33-41
520			_aTranscripción 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.
581			_a1-2
773	0		_tJournal of Petroleum Science & Engineering _g66
942			_cARTICULO
100	1		_aSantos, R _942198
100	1		_aAlmeida Neto, J. F. _942199
100	1		_aCampos, M. _918560
999			_c170752 _d170752