Notice of Violation of IEEE Publication Principles: Agents and multi-agent systems and application to condition monitoring

Notice of Violation of IEEE Publication Principles

"Agents and Multi-agents Systems and Application to Condition Monitoring" by Christina B. Vilakazi, Tshilidzi Marwala
in the Proceedings of the 2007 International Conference on Systems, Man and Cybernetics 2007, pp. 644-649

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant methodology and text from the paper cited below. The content was used with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"The Design of a Multi-Agent Transformer Condition Monitoring System"
by Stephen D.J. McArthur, Scott M. Strachan, and Gordon Jahn
in the IEEE Transactions on Power Systems, Vol 19, No 4, November 2004, pp. 1845-1852


In recent years the need for improved monitoring systems has necessitated the application of intelligent systems. In this study, a multi-agent system (MAS) is used for vibration condition monitoring. The system consists of functional agents such as feature extraction agent, interpretation agent, diagnosis agent, engineering assistant agent and registry agent. Support Vector Machine (SVM), Multi-layer perceptron (MLP) and Extension Neural Network (ENN) are used as interpretation agent. The rationale behind using multi-agent system for condition monitoring is explained. Experimental results show that multi-agent system is an effective artificial intelligence techniques for condition monitoring.