This paper addresses the detection of faulty situations that develop in activated sludge wastewater treatment plants (ASWWTP). The Kohonen Self-Organising map (KSOM) has been utilised to detect and track changes in different parameters for real data collected from the Seafield wastewater treatment plant, Edinburgh, UK. The results demonstrate that this method is simple, computationally efficient and provides useful information for the process engineer who is faced with improving the performance of the WWTP.
|Publication status||Published - 22 Dec 2017|
|Event||8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering - Dubai, United Arab Emirates|
Duration: 21 Dec 2017 → 22 Dec 2017
Conference number: 8
|Conference||8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering|
|Country||United Arab Emirates|
|Period||21/12/17 → 22/12/17|
- Wastewater treatment
- Fault detection and diagnosis
- Activated sludge
- Self Organising Map
ASJC Scopus subject areas
Rustum, R., & Forrest, S. (2017). Fault Detection in the Activated Sludge Process using the Kohonen Self-Organising Map. Paper presented at 8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering, Dubai, United Arab Emirates.