Abstract

BERNAL DE LAZARO, José M.; PRIETO MORENO, Alberto; CAMPOS KNUPP, Diego  and  SILVA NETO, Antônio J.. A combination of KICA and filtering EWMA-ED proposed for detection of small magnitude fault in chemical processes. EAC [online]. 2016, vol.37, n.3, pp.72-80. ISSN 1815-5928.

The current industry requires of the fault diagnostic systems with a detection stage that can ensure a small number of false alarms and a quick detection of faults, regardless of their nature and magnitude. However, a common problem of the approaches based on the Multivariate Statistical Process Monitoring (MSPM) which are currently used for this purpose is the difficulty of them to detect small magnitude faults without incurring a high number of false alarms, and faults not detected. To overcome this drawback, in this paper is proposed a novel approach that combines the advantages of kernel methods, and a novel EWMA with enhanced dynamic to filter the T² Hotelling statistic used as the fault detection mechanism in a complex chemical process.

Keywords : Fault detection; EWMA-ED; Signal filtering; Tennessee Eastman; Hotelling T².

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