Demonstration of a tool for automatic learning and reuse of knowledge in the activated sludge process
(2006) In Water Science and Technology 53(4-5). p.303-311- Abstract
- Wastewater treatment plant operators encounter complex operational problems related to the activated sludge process and usually respond to these by applying their own intuition and by taking advantage of what they have learnt from past experiences of similar problems. However, previous process experiences are not easy to integrate in numerical control, and new tools must be developed to enable re-use of plant operating experience. The aim of this paper is to investigate the usefulness of a case-based reasoning (CBR) approach to apply learning and re-use of knowledge gained during past incidents to confront actual complex problems through the IWA/COST Benchmark protocol. A case study shows that the proposed CBR system achieves a significant... (More)
- Wastewater treatment plant operators encounter complex operational problems related to the activated sludge process and usually respond to these by applying their own intuition and by taking advantage of what they have learnt from past experiences of similar problems. However, previous process experiences are not easy to integrate in numerical control, and new tools must be developed to enable re-use of plant operating experience. The aim of this paper is to investigate the usefulness of a case-based reasoning (CBR) approach to apply learning and re-use of knowledge gained during past incidents to confront actual complex problems through the IWA/COST Benchmark protocol. A case study shows that the proposed CBR system achieves a significant improvement of the benchmark plant performance when facing a high-flow event disturbance. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/641443
- author
- Comas, J
; Rodríguez-Roda, I
; Poch, M
; Gernaey, K V
; Rosén, Christian
LU
and Jeppsson, Ulf
LU
- organization
- publishing date
- 2006
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Water Science and Technology
- volume
- 53
- issue
- 4-5
- pages
- 303 - 311
- publisher
- IWA Publishing
- external identifiers
-
- wos:000238056000033
- pmid:16722081
- scopus:33646748870
- ISSN
- 0273-1223
- DOI
- 10.2166/wst.2006.135
- language
- English
- LU publication?
- yes
- id
- 69374f04-33c4-438d-bf1a-c95798bd04ef (old id 641443)
- date added to LUP
- 2016-04-01 16:06:43
- date last changed
- 2024-10-11 14:42:31
@article{69374f04-33c4-438d-bf1a-c95798bd04ef, abstract = {{Wastewater treatment plant operators encounter complex operational problems related to the activated sludge process and usually respond to these by applying their own intuition and by taking advantage of what they have learnt from past experiences of similar problems. However, previous process experiences are not easy to integrate in numerical control, and new tools must be developed to enable re-use of plant operating experience. The aim of this paper is to investigate the usefulness of a case-based reasoning (CBR) approach to apply learning and re-use of knowledge gained during past incidents to confront actual complex problems through the IWA/COST Benchmark protocol. A case study shows that the proposed CBR system achieves a significant improvement of the benchmark plant performance when facing a high-flow event disturbance.}}, author = {{Comas, J and Rodríguez-Roda, I and Poch, M and Gernaey, K V and Rosén, Christian and Jeppsson, Ulf}}, issn = {{0273-1223}}, language = {{eng}}, number = {{4-5}}, pages = {{303--311}}, publisher = {{IWA Publishing}}, series = {{Water Science and Technology}}, title = {{Demonstration of a tool for automatic learning and reuse of knowledge in the activated sludge process}}, url = {{http://dx.doi.org/10.2166/wst.2006.135}}, doi = {{10.2166/wst.2006.135}}, volume = {{53}}, year = {{2006}}, }