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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/36659
Record Status
Checked
Record Id
36659
Title
Data mining to support anaerobic WWTP monitoring
Contributors
M Dixon (London Metropolitan U.)
,
J R Gallop (CCLRC Rutherford Appleton Lab.)
,
S C Lambert (CCLRC Rutherford Appleton Lab.)
,
L Lardon (INRA)
,
J V Healy (London Metropolitan U.)
,
J-P Steyer (INRA)
Abstract
The stable and efficient operation of anaerobic wastewater treatment plants (WWTPs) is a major challenge for monitoring and control systems. Support for distributed anaerobic WWTPs through remotely monitoring their data was investigated in the TELEMAC framework. This paper describes how the accumulating filtered sensor data was mined to contribute to the refining of expert experience for insights into digester states. Visualisation techniques were used to present cluster analyses of digester states. A procedure for determining prediction intervals is described together with its application for volatile fatty acid concentrations; this procedure enables prediction risk assessment.
Organisation
CCLRC
,
ESC
Keywords
Anaerobic digestion
,
Data mining
,
Waste water treatment
,
Prediction interval
,
Remote monitoring and control
Funding Information
Related Research Object(s):
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Journal Article
Control Engineering Practice 15, no. 8 (2006): 987-999.
doi:10.1016/j.conengprac.2006.11.010
WWTP_Monitoring_D…op_Lambert_et_al.pdf
2006
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