Using Unfold-PCA for batch-to-batch start-up process understanding and steady-state identification in a sequencing batch reactor

Journal of Chemometrics

Volumn 22, Issue 1, 2008, Pages 81-90

  Aguado, D ^a   Ferrer, A ^a   Seco, A ^b   Ferrer, J ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Diagnosis; PCA; Sequencing batch reactor; Start up; Steady state detection; Wastewater

Indexed keywords

BATCH DATA PROCESSING; BATCH REACTORS; BIOLOGICAL WATER TREATMENT;

BATCH PROCESS; PCA; PROCESS UNDERSTANDING; SEQUENCING BATCH REACTORS; START-UP; START-UP PROCESS; STATE IDENTIFICATION; STEADY STATE; STEADY-STATE CONDITION; STEADY-STATE DETECTIONS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 53649088652     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1104     Document Type: Article

References (15)

1. Cao S, Rhinehart RR. An efficient method for on-line identification of steady-state. J. Process Control 1995; 5(6): 363-374.
2. Brown PR, Rhinehart RR. Demonstration of a method for automated steady-state identification in multivariable systems. Hydrocarbon Process. 2000; 79(9): 79-83.
3. Jiang T, Chen B, He X, Stuart P. Application of steady-state detection method based on wavelet transform. Comput. Chem. Eng. 2003; 27: 569-578.
4. Ruiz G, Castellano M, González W, Roca E, Lema JM. Algorithm for steady state detection of multivariate process: application too waste-water anaerobic digestion process. Proceedings of 2nd International IWA Conference on Automation in Water Quality Monitoring, AutMoNet, 19-20 April 2004, Vienna, Austria.
5. Wilderer PA, Irvine RL, Goronszy MC. Sequencing Batch Reactor Technology. IWA Publishing: London, 2001.
6. Westerhuis JA, Kourti T, MacGregor JF. Comparing alternative approaches for multivariate statistical analysis of batch process data. J. Chemometrics 1999; 13: 397-413.
7. Kourti T. Multivariate dynamic data modelling for analysis and statistical process control of batch processes, start-ups and grade transitions. J. Chemometrics 2003; 17(1): 93-109.
8. Zarzo M, Ferrer A. Batch process diagnosis: PLS with variable selection versus block-wise PCR. Chemom. Intell. Lab. Syst. 2004; 73(1): 15-27.
9. Eriksson L, Johansson E, Kettaneh-Wold N, Wold S. Multi- and Mega-variate Data Analysis: Principles and Applications. Umetrics Academy, 2001, Umeå, Sweden.
10. Cao S, Rhinehart RR. Critical values for a steady-state identifier. J. Process Control 1997; 7(2): 149-152.
11. Serralta J, Borrás L, Blanco C, Barat R, Seco A. Monitoring pH and electric conductivity in an EBPR sequencing batch reactor. Water Sci. Technol. 2004; 50(10): 145-152.
12. Maurer M, Gujer W. Monitoring of microbial phosphorus release in. batch experiments using electric conductivity. Water Res. 1995; 29: 2613-2617.
13. Aguado D, Montoya T, Ferrer J, Seco A. Relating ions concentration variations to conductivity variations in a sequencing batch reactor operated for enhanced biological phosphorus removal. Environ. Model. Softw. 2006; 21: 845-851.
14. Lucas JM, Saccucci MS. Exponentially weighted moving average control schemes: properties and enhancements. Technometrics 1990; 32(1): 1-29.
15. MacGregor JF, Harris TJ. The exponentially weighted moving variance. J. Qual. Technol. 1993; 25(2): 106-118.