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Authors: Alberto Wong Ramírez and Joan Colomer Llinàs

Affiliation: University of Girona, Spain

Keyword(s): Batch Processes, Contribution Plots, Data Mining, Classification Algorithms, Principal Component Analysis.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Industrial Applications of Artificial Intelligence ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Web Information Systems and Technologies

Abstract: The diagnosis of qualitative variables in certain types of batch processes requires time to measure the variables and obtain the final result of the released product. With principal component analysis (PCA) any abnormal behavior of the process can be detected. This study proposes a method that uses contribution plots as fault signatures (FS) on the different stages and variables of the process to diagnose the quality variables from the released product. Therefore, in a product resulting from the abnormal behavior of a process the qualitative variables that need to be measured could be obtained through the quantitative variables of the process by classifying the FS with a knowledge model from a fault signature database (FSD) extracted with a classification algorithm. The method is tested in a biological nutrient removal (BNR) sequencing batch reactor (SBR) for wastewater treatment to diagnose qualitative variables of the process: ammonium (NH+4 ), nitrates (NO−2 or NO−3) and phosphate (PO3−4). (More)

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Paper citation in several formats:
Wong Ramírez, A. and Colomer Llinàs, J. (2011). FAULT DIAGNOSIS OF BATCH PROCESSES RELEASE USING PCA CONTRIBUTION PLOTS AS FAULT SIGNATURES. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8425-53-9; ISSN 2184-4992, SciTePress, pages 223-228. DOI: 10.5220/0003500102230228

@conference{iceis11,
author={Alberto {Wong Ramírez}. and Joan {Colomer Llinàs}.},
title={FAULT DIAGNOSIS OF BATCH PROCESSES RELEASE USING PCA CONTRIBUTION PLOTS AS FAULT SIGNATURES},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2011},
pages={223-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003500102230228},
isbn={978-989-8425-53-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - FAULT DIAGNOSIS OF BATCH PROCESSES RELEASE USING PCA CONTRIBUTION PLOTS AS FAULT SIGNATURES
SN - 978-989-8425-53-9
IS - 2184-4992
AU - Wong Ramírez, A.
AU - Colomer Llinàs, J.
PY - 2011
SP - 223
EP - 228
DO - 10.5220/0003500102230228
PB - SciTePress