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

Rabee Rustum; Shaun Forrest

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

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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 language	English
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 http://cecabs.org/conference/188/283

Conference

Conference	8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering
Abbreviated title	UPACEE-17
Country/Territory	United Arab Emirates
City	Dubai
Period	21/12/17 → 22/12/17
Internet address	http://cecabs.org/conference/188/283

Keywords

Wastewater treatment
Fault detection and diagnosis
Activated sludge
Self Organising Map

ASJC Scopus subject areas

General Engineering

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title = "Fault Detection in the Activated Sludge Process using the Kohonen Self-Organising Map",

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.",

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author = "Rabee Rustum and Shaun Forrest",

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note = "8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering, UPACEE-17 ; Conference date: 21-12-2017 Through 22-12-2017",

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TY - CONF

T1 - Fault Detection in the Activated Sludge Process using the Kohonen Self-Organising Map

AU - Rustum, Rabee

AU - Forrest, Shaun

N1 - Conference code: 8

PY - 2017/12/22

Y1 - 2017/12/22

N2 - 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.

AB - 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.

KW - Wastewater treatment

KW - Fault detection and diagnosis

KW - Activated sludge

KW - Self Organising Map

M3 - Paper

T2 - 8th International Conference on Urban Planning, Architecture, Civil and Environment Engineering

Y2 - 21 December 2017 through 22 December 2017

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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