Instrumentation Design and Upgrade for Principal Components Analysis Monitoring

Abstract

In this paper, a methodology to design instrument networks optimally selected for the use of PCA-based monitoring in process plants is presented. Sensors are placed or signals are selected to minimize the sum of investment cost and the cost of not detecting a fault. This optimization problem is solved using Genetic Algorithms (GA). It is shown that for… (More)

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Cite this paper

@inproceedings{MusulinInstrumentationDA, title={Instrumentation Design and Upgrade for Principal Components Analysis Monitoring}, author={Estanislao Musulin and Miguel J. Bagajewicz and Jos{\'e} M. Nougu{\'e}s and Luis Puigjaner} }