September 2000

Process Control/Information Systems

Automated steady-state identification in multivariable systems

Use this technique for better results and less computational burden

Brown, P. R., Rhinehart, R. R., School of Chemical Engineering, Oklahoma State University

A method for automated steady-state identification in noisy processes has been extended to multivariable systems and experimentally demonstrated on a distillation column. Introduction. Process owners analyze processes when they are at steady state to determine, for instance, the extent of fouling, maintenance scheduling, flowmeter calibration and catalyst activity analysis. In general at steady state we initiate data collection to produce safe, beneficial and rational chemical process management. However, identifying steady state can be difficult because process variables are noisy and measurements do not settle at one value. So, steady-state identification (SSID) requires statistical

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