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Abstract
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Article Information:
Biological Nitrogen Removal Process Monitoring Based on Fuzzy Robust PCA
Nabila Heloulou, Messaoud Ramdani and Abdenabi Abidi
Corresponding Author: Nabila Heloulou
Submitted: November 26, 2013
Accepted: January 16, 2014
Published: June 05, 2014 |
Abstract:
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In this study the Fuzzy Robust Principal Component Analysis (FRPCA) method is used to monitor a biological nitrogen removal process, performances of this method are then compared with classical principal component analysis. The obtained results demonstrate the performances superiority of this robust extension compared with the conventional one. In this method fuzzy variant of PCA uses fuzzy membership and diminish the effect of outliers by assigning small membership values to outliers in order to make it robust. For the purpose of fault detection, the SPE index is used. Then the fault localization by contribution plots approach and SVI index are exploited.
Key words: Biological nitrogen removal, fault diagnosis, fuzzy robust PCA, multivariate statistical process control, process monitoring, water treatment plant,
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Cite this Reference:
Nabila Heloulou, Messaoud Ramdani and Abdenabi Abidi, . Biological Nitrogen Removal Process Monitoring Based on Fuzzy Robust PCA. Research Journal of Applied Sciences, Engineering and Technology, (21): 4434-4444.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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