Abstract
This paper reports on the design, implementation and real-time operation of advanced process monitoring techniques for wastewater treatment plants. The paper presents the development of a software platform and its implementation in a full-scale wastewater treatment plant. The software platform allows the real-time execution of advanced process monitoring techniques that are used for fault and process upset detection and identification. The statistical methods are part of a supervisory control level that allows for integration of the different facets of process monitoring and control, including fault detection, knowledge extraction and controller action. Results obtained by the real-time execution of such algorithms are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 173-193 |
| Number of pages | 21 |
| Journal | Transactions of the Institute of Measurement & Control |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 2005 |
| Externally published | Yes |
Keywords
- process monitoring
- real-time control
- recursive Principal Component Analysis
- wastewater treatment
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