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Received May 9, 2007
Accepted January 22, 2008
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Multivariate monitoring for time-derivative non-Gaussian batch process
College of Environment and Applied Chemistry/Green Energy Center, Kyung Hee University, Seocheon-dong 1, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea
Korean Journal of Chemical Engineering, September 2008, 25(5), 947-954(8), 10.1007/s11814-008-0154-7
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Abstract
This research is an application of process monitoring on a pilot-scale sequencing batch reactor (SBR) using a batchwise multiway independent component analysis method (MICA) for denoising effect, which can extract meaningful hidden information from non-Gaussian data. Three-way batch data of SBR are unfolded batch wise, and then a multivariate monitoring method is used to capture the non-Gaussian and nonlinear characteristics of normal batches. It is successfully applied to an 80 L SBR for biological wastewater treatment, which is characterized by a variety of error sources with non-Gaussian characteristics. In the monitoring result, multiway principal component analysis (MPCA) can detect the abnormal batches with a false alarm rate of 47.5%, whereas MICA charts show less false alarm rate of 4.5%. The results of this pilot-scale SBR monitoring system using simple on-line measurements clearly demonstrated that the MICA monitoring technique showed lower false alarm rate and physically meaningful robust monitoring results.
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References
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Kim KS, Ko JW, Korean J. Chem. Eng., 22(1), 26 (2005)
Chang CH, Hao OJ, J. Chem. Technol. Biotechnol., 67(1), 27 (1996)
Wilderer PA, Irvine RL, Goronszy MC, Sequencing batch reactor technology, IWA publishing, UK (2001)
Mace and Mata-Alvarez, I&EC, 41, 5539 (2002)
Yoo CK, Lee J, Vanrolleghem PA, Lee IB, Chemometrics Intell. Lab. Syst., 71, 151 (2004)
Yoo CK, Bang YH, Lee IB, Vanrolleghem PA, Rosen C, Korean J. Chem. Eng., 21(6), 1087 (2004)
Yoo CK, Lee IB, Vanrolleghem PA, Environmental Monitoring and Assessment, 119(1-3), 1573 (2006)
Lee JM, Qin SJ, Lee IB, AIChE J., 52(10), 3501 (2006)
Stanimirovic O, Hoefsloot HCJ, de Bokx PK, Smilde AK, J. Chemometr., 20, 43 (2006)
Ge ZQ, Song ZH, Ind. Eng. Chem. Res., 46(7), 2054 (2007)
Nomikos P, Macgregor JF, AIChE J., 40(8), 1361 (1994)
Hyvarinen A, Karhunen J, Oja E, Independent component analysis, John Wiley & Sons, INC., USA (2001)
Lee T, Independent component analysis: Theory and applications, Kluwer Academic Publishers, Boston, USA (1998)
Chen Q, Wynne RJ, Goulding P, Sandoz D, Control Eng. Practice, 8, 531 (2000)
