Fault Detection in the Activated Sludge Process using the Kohonen Self-Organising Map

Rabee Rustum, Shaun Forrest

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Abstract

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.
Original languageEnglish
Publication statusPublished - 22 Dec 2017
Event8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering - Dubai, United Arab Emirates
Duration: 21 Dec 201722 Dec 2017
Conference number: 8
http://cecabs.org/conference/188/283

Conference

Conference8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering
Abbreviated titleUPACEE-17
CountryUnited Arab Emirates
CityDubai
Period21/12/1722/12/17
Internet address

Keywords

  • Wastewater treatment
  • Fault detection and diagnosis
  • Activated sludge
  • Self Organising Map

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    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.