Riku Vahala

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This paper surveys and discusses the application of data-derived soft-sensing techniques in biological wastewater treatment plants. Emphasis is given to an extensive overview of the current status and to the specific challenges and potential that allow for an effective application of these soft-sensors in full-scale scenarios. The soft-sensors presented in(More)
Keywords: Adaptive process monitoring Anomaly detection Principal component analysis Wastewater treatment a b s t r a c t This work examines real-time anomaly detection and isolation in a full-scale wastewater treatment application. The Viikinmäki plant is the largest municipal wastewater treatment facility in Finland. It is monitored with ample(More)
A bench-scale granular autotrophic nitrogen removal bioreactor (completely autotrophic nitrogen removal over nitrite (CANON) system) used for the treatment of synthetic wastewater was analyzed for the identification of microbiota with potential capacity for carbonate and phosphate biomineral formation. 16S ribosomal RNA (rRNA) gene-based studies revealed(More)
The degree and importance of automation at municipal wastewater treatment plants (WWTPs) have increased with the development of technology and tightening of treatment requirements. The objective of this paper is to assess and document the current status of process automation at WWTPs in Finland to determine successful practices and the needs of plant(More)
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