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On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater

(2005) COMPUTER-AIDED CHEMICAL ENGINEERING. 20a-20b. p.1297-1302
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Abstract
The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models lire tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour from the original data set. To improve the performance of the identified model, it is decided to account for dynamics in the SHARON process by means of auto-regressive exogenous (ARX) Structuring of data before the identification. A fruitful replacement of missing values for this purpose is done by means of a static PCA model. It is shown that the different criteria used in model selection lead to the same DPCA model. In this paper all steps of the monitoring module design are explained and the performance of different models is analyzed.
Keywords
environmental biotechnology, Dynamic PCA, statistical monitoring, fault detection, wastewater treatment

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Citation

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MLA
Villez, Kris et al. “On-line Dynamic Monitoring of the SHARON Process for Sustainable Nitrogen Removal from Wastewater.” Computer-aided Chemical Engineering. Ed. L Puigjaner & A Espuna. Vol. 20a-20b. Amsterdam, The Netherlands: Elsevier Science, 2005. 1297–1302. Print.
APA
Villez, Kris, Rosen, C., Van Hulle, S., Yoo, C., Nopens, I., & Vanrolleghem, P. A. (2005). On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater. In L. Puigjaner & A. Espuna (Eds.), COMPUTER-AIDED CHEMICAL ENGINEERING (Vol. 20a-20b, pp. 1297–1302). Presented at the 15th European symposium on Computer Aided Process Engineering (ESCAPE-15), Amsterdam, The Netherlands: Elsevier Science.
Chicago author-date
Villez, Kris, C Rosen, Stijn Van Hulle, CK Yoo, Ingmar Nopens, and Peter A Vanrolleghem. 2005. “On-line Dynamic Monitoring of the SHARON Process for Sustainable Nitrogen Removal from Wastewater.” In Computer-aided Chemical Engineering, ed. L Puigjaner and A Espuna, 20a-20b:1297–1302. Amsterdam, The Netherlands: Elsevier Science.
Chicago author-date (all authors)
Villez, Kris, C Rosen, Stijn Van Hulle, CK Yoo, Ingmar Nopens, and Peter A Vanrolleghem. 2005. “On-line Dynamic Monitoring of the SHARON Process for Sustainable Nitrogen Removal from Wastewater.” In Computer-aided Chemical Engineering, ed. L Puigjaner and A Espuna, 20a-20b:1297–1302. Amsterdam, The Netherlands: Elsevier Science.
Vancouver
1.
Villez K, Rosen C, Van Hulle S, Yoo C, Nopens I, Vanrolleghem PA. On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater. In: Puigjaner L, Espuna A, editors. COMPUTER-AIDED CHEMICAL ENGINEERING. Amsterdam, The Netherlands: Elsevier Science; 2005. p. 1297–302.
IEEE
[1]
K. Villez, C. Rosen, S. Van Hulle, C. Yoo, I. Nopens, and P. A. Vanrolleghem, “On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater,” in COMPUTER-AIDED CHEMICAL ENGINEERING, Barcelona, Spain, 2005, vol. 20a-20b, pp. 1297–1302.
@inproceedings{405619,
  abstract     = {The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models lire tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour from the original data set. To improve the performance of the identified model, it is decided to account for dynamics in the SHARON process by means of auto-regressive exogenous (ARX) Structuring of data before the identification. A fruitful replacement of missing values for this purpose is done by means of a static PCA model. It is shown that the different criteria used in model selection lead to the same DPCA model. In this paper all steps of the monitoring module design are explained and the performance of different models is analyzed.},
  author       = {Villez, Kris and Rosen, C and Van Hulle, Stijn and Yoo, CK and Nopens, Ingmar and Vanrolleghem, Peter A},
  booktitle    = {COMPUTER-AIDED CHEMICAL ENGINEERING},
  editor       = {Puigjaner, L and Espuna, A},
  isbn         = {9780444519870},
  issn         = {1570-7946},
  keywords     = {environmental biotechnology,Dynamic PCA,statistical monitoring,fault detection,wastewater treatment},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {1297--1302},
  publisher    = {Elsevier Science},
  title        = {On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater},
  volume       = {20a-20b},
  year         = {2005},
}

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