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Distributed monitoring of the absorption column of a post‐combustion CO 2 capture plant
Author(s) -
Yin Xunyuan,
DecardiNelson Benjamin,
Liu Jinfeng
Publication year - 2020
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3074
Subject(s) - estimator , column (typography) , combustion , fault (geology) , state (computer science) , work (physics) , absorption (acoustics) , computer science , distributed computing , environmental science , engineering , chemistry , mathematics , materials science , algorithm , geology , telecommunications , mechanical engineering , statistics , organic chemistry , frame (networking) , seismology , composite material
Summary In this work, we consider the monitoring of the absorption column of a typical post‐combustion capture plant within a distributed framework. The column is decomposed into a few subsystems, and a distributed moving horizon state estimator network is designed to estimate the state of the entire column. A state predictor is also designed for each subsystem to approximate the future evolution of the subsystem. These subsystem predictors form a distributed predictor network. Based on the distributed estimator and predictor networks, a fault diagnosis mechanism is proposed specifically for potential additive sensor faults. Extensive simulation results are provided to demonstrate the performance of the proposed approach.