Abstract: It is well known that to measure and estimate the chemical process variables in time has vital significance in ensuring process stabilization and effectively controlling its product quality.Based on the experimental determination of the present analysis, the time lag obviously, can not be achieved precise control of the product quality requirements, and process parameters based on the soft measurement model, sample real-time data acquisition and building parameters and the nature of their experience mathematical model can be used for real-time On-line analysis of product quality and control. The internship will be based on the PTA plant solvent dehydration tower chemical process data collected samples of the timing, and taking into account the high-dimensional data-related small sample, to be adopted biased estimate of the partial least squares regression method for the solution of acetic acid from the top in the establishment of soft measurement model, and with other classical soft measurement modeling method for comparison.
Keywords:Soft-sensing; Partial least squares regression; PTA solvent dehydration tower; Regression; Principle component regression