Multivariate Statistical Methods for Industrial Process Prognostics

Abstract

The paper deals with multivariate statistical methods used for failure prognostics in industrial processes. Modern on-line process monitoring system should support classic fault detection, isolation and diagnosis (FDI) sub-systems to avoid process down-time, increase production, optimize parameters of the production line, etc. However faults usually demand… (More)

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Cite this paper

@inproceedings{Boidar2010MultivariateSM, title={Multivariate Statistical Methods for Industrial Process Prognostics}, author={Bratina Bo{\vz}idar and Boris Tovornik}, year={2010} }