Selection of regressors using correlation analysis to design a Virtual Instrument for an SRU of a refinery

A. Di Bella, S. Graziani, G. Napoli, M.G. Xibilia
2007 2007 Mediterranean Conference on Control & Automation  
In this paper the problem of regressors selection in Virtual Instruments (VI) design is addressed. The VI is designed to replace the on line analyzer of a Sulfur Recovery Unit (SRU) of a large refinery located in Sicily during maintenance operations. It is designed by using nonlinear MA models implemented by a MLP neural network. The use of a set of cross-correlation functions, proposed by Billings and Voon to evaluate the performance of nonlinear models is used to select the regressors of the
more » ... iscrete-time NMA model by implementing an automatic regressor selection algorithm. The designed Soft Sensor has been implemented at the refinery to be tested on line.
doi:10.1109/med.2007.4433715 fatcat:o2cboaxa5fahzhjw4agya6gmsq