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Qualitative representation of trends: an alternative approach to process diagnosis and control

(2008) WATER SCIENCE AND TECHNOLOGY. 57(10). p.1525-1532
Author
Organization
Abstract
The potential for qualitative representation of trends in the context of process diagnosis and control is evaluated in this paper. The technique for qualitative description of the data series is relatively new to the field of process monitoring and diagnosis and is based on the cubic spline wavelet decomposition of the data. It is shown that the assessed qualitative description of trends can be coupled easily with existing process knowledge and does not demand the user to understand the underlying technique in detail, in contrast to, for instance, multivariate techniques in Statistical Process Control. The assessed links can be integrated straightforwardly into the framework of supervisory control systems by means of look-up tables, expert systems or case-based reasoning frameworks. This in turn allows the design of a supervisory control system leading to fully automated control actions. The technique is illustrated by an application to a pilot-scale SBR.
Keywords
nutrient removal, B-splines, qualitative representation of trends (QRT), SBR, wavelet analysis, PATTERN-RECOGNITION, FAULT-DIAGNOSIS, IDENTIFICATION, SYSTEMS, MULTIVARIATE, EXTRACTION, FRAMEWORK, MODELS

Citation

Please use this url to cite or link to this publication:

MLA
Villez, Kris et al. “Qualitative Representation of Trends: An Alternative Approach to Process Diagnosis and Control.” WATER SCIENCE AND TECHNOLOGY 57.10 (2008): 1525–1532. Print.
APA
Villez, Kris, Rosen, C., Anctil, F., Duchesne, C., & Vanrolleghem, P. A. (2008). Qualitative representation of trends: an alternative approach to process diagnosis and control. WATER SCIENCE AND TECHNOLOGY, 57(10), 1525–1532.
Chicago author-date
Villez, Kris, Christian Rosen, F Anctil, C Duchesne, and Peter A Vanrolleghem. 2008. “Qualitative Representation of Trends: An Alternative Approach to Process Diagnosis and Control.” Water Science and Technology 57 (10): 1525–1532.
Chicago author-date (all authors)
Villez, Kris, Christian Rosen, F Anctil, C Duchesne, and Peter A Vanrolleghem. 2008. “Qualitative Representation of Trends: An Alternative Approach to Process Diagnosis and Control.” Water Science and Technology 57 (10): 1525–1532.
Vancouver
1.
Villez K, Rosen C, Anctil F, Duchesne C, Vanrolleghem PA. Qualitative representation of trends: an alternative approach to process diagnosis and control. WATER SCIENCE AND TECHNOLOGY. 2008;57(10):1525–32.
IEEE
[1]
K. Villez, C. Rosen, F. Anctil, C. Duchesne, and P. A. Vanrolleghem, “Qualitative representation of trends: an alternative approach to process diagnosis and control,” WATER SCIENCE AND TECHNOLOGY, vol. 57, no. 10, pp. 1525–1532, 2008.
@article{713332,
  abstract     = {The potential for qualitative representation of trends in the context of process diagnosis and control is evaluated in this paper. The technique for qualitative description of the data series is relatively new to the field of process monitoring and diagnosis and is based on the cubic spline wavelet decomposition of the data. It is shown that the assessed qualitative description of trends can be coupled easily with existing process knowledge and does not demand the user to understand the underlying technique in detail, in contrast to, for instance, multivariate techniques in Statistical Process Control. The assessed links can be integrated straightforwardly into the framework of supervisory control systems by means of look-up tables, expert systems or case-based reasoning frameworks. This in turn allows the design of a supervisory control system leading to fully automated control actions. The technique is illustrated by an application to a pilot-scale SBR.},
  author       = {Villez, Kris and Rosen, Christian and Anctil, F and Duchesne, C and Vanrolleghem, Peter A},
  issn         = {0273-1223},
  journal      = {WATER SCIENCE AND TECHNOLOGY},
  keywords     = {nutrient removal,B-splines,qualitative representation of trends (QRT),SBR,wavelet analysis,PATTERN-RECOGNITION,FAULT-DIAGNOSIS,IDENTIFICATION,SYSTEMS,MULTIVARIATE,EXTRACTION,FRAMEWORK,MODELS},
  language     = {eng},
  number       = {10},
  pages        = {1525--1532},
  title        = {Qualitative representation of trends: an alternative approach to process diagnosis and control},
  url          = {http://dx.doi.org/10.2166/wst.2008.141},
  volume       = {57},
  year         = {2008},
}

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