Abstract:Thermoelectric power plants have critical units, e.g. boiler that is a complex multivariable system in itself. Such complex units present non-stationary behavior and multiple points of operation, which implies constant changes in variables' setpoints. This work presents a multivariate statistical monitoring methodology, combined with Principal Component Analysis (PCA), to detect changes in operational conditions, adapted to changing process conditions, since strict PCA technique requires stationarity that is n… Show more
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