Fault detection and isolation of acid gas removal units in a gas separation process using PLS

Conference proceedings article

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Publication Details

Author list: Pradittiamphon S., Wongsa S.

Publisher: Hindawi

Publication year: 2017

Start page: 88

End page: 93

Number of pages: 6

ISBN: 9781509013357

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013036479&doi=10.1109%2fICA.2016.7811481&partnerID=40&md5=164e86651d4cb8c6b25473dbc0512661

Languages: English-Great Britain (EN-GB)

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Abstract

Partial least squares (PLS) is a potential data-driven technique to deal with a huge number of measured variables and complex relationship. It could be used for process monitoring even for chemical processes that have nonlinear dynamic properties. In this paper PLS is applied to detect two fault types which occurred in real Acid Gas Removal Units (AGRU) of a gas separation process. The developed PLS-based fault detection and isolation (FDI) is implemented under a careful selection of input variables and key quality variables for FDI purposes. The results indicate that the developed approach can predict and diagnose fault cases efficiently prior to process upset and shutdown. ฉ 2016 IEEE.

Keywords

acid gas removal unit (AGRU), PLS, Process monitoring