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A novelty detection approach for detecting faulty batches in a photo-Fenton process

Author
Monroy, I.; Yamal, E.; Escudero, G.; Pérez-Moya, M.; Graells, M.
Type of activity
Presentation of work at congresses
Name of edition
22nd European Symposium on Computer Aided Process Engineering
Date of publication
2012
Presentation's date
2012-06-18
Book of congress proceedings
22nd European symposium on computer aided process engineering : ESCAPE-22
First page
972
Last page
976
DOI
https://doi.org/10.1016/B978-0-444-59520-1.50053-1 Open in new window
Repository
http://cataleg.upc.edu/record=b1412246~S1*cat Open in new window
URL
http://www.sciencedirect.com/science/article/pii/B9780444595201500531 Open in new window
Abstract
A novelty detection approach for detecting novel faults has been developed and applied to a photo-Fenton process in a fully monitored pilot plant. The proposed approach consists of two stages: Fault Detection or binary classification stage, and Fault Diagnosis (FD) or multi-class classification stage. Batches under nominal operating conditions, where coffee samples are degraded, are defined according to an experimental design and three possible faults are found in the process. Experimental batch...
Keywords
Advanced Oxidation Process, Fault Diagnosis, Novelty Detection, photo-Fenton process
Group of research
CEPIMA - Centre d'Enginyeria de Processos i Medi Ambient
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants