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Persistent URL http://purl.org/net/epubs/work/36659
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Record Id 36659
Title Data mining to support anaerobic WWTP monitoring
Contributors
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
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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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