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Automated fault detection method in process data based on cluster analysis (CROSBI ID 620531)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Belić, Filip ; Hocenski, Željko Automated fault detection method in process data based on cluster analysis // USB Proceedings of the 2014 IEEE 23rd International Symposium on Industrial Electronics / Kaynak, Okyay (ur.). Istanbul: IEEE Industrial Electronics Society, Bogazicy University, Turkey, 2014. str. 2412-2417

Podaci o odgovornosti

Belić, Filip ; Hocenski, Željko

engleski

Automated fault detection method in process data based on cluster analysis

This article presents a method for detecting changes in behavior of data. It is based on cluster analysis, which is a common name for methods that group data in segments called clusters, based on similarities and differences of data itself, without supervision of human observer. The data analyzed by clustering techniques are commonly met in process industry: locally constant process values with a lot of noise and sudden changes to completely different values. The experimental application was developed for evaluation of proposed method and gained results prove its quality for several data patterns. This method can be used for automated fault detection applied to industrial process data when data errors are more complex than simple breaching of data limits or minimum and maximum.

process data ; fault detection ; cluster analysis ; application ; evaluation

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Podaci o prilogu

2412-2417.

2014.

objavljeno

Podaci o matičnoj publikaciji

USB Proceedings of the 2014 IEEE 23rd International Symposium on Industrial Electronics

Kaynak, Okyay

Istanbul: IEEE Industrial Electronics Society, Bogazicy University, Turkey

978-1-4799-2398-4

Podaci o skupu

2014 IEEE 23rd International Symposium on Industrial Electronics

predavanje

01.06.2014-04.06.2014

Istanbul, Turska

Povezanost rada

Računarstvo