DocumentCode
2539963
Title
Notice of Violation of IEEE Publication Principles
Agents and multi-agent systems and application to condition monitoring
Author
Vilakazi, Christina B. ; Marwala, Tshilidzi
Author_Institution
Univ. of the Witwatersrand, Johannesburg
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
644
Lastpage
649
Abstract
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.
"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.
Keywords
condition monitoring; mechanical engineering computing; multi-agent systems; multilayer perceptrons; support vector machines; vibrations; artificial intelligence; diagnosis agent; engineering assistant agent; extension neural network; feature extraction agent; interpretation agent; multiagent system; multilayer perceptron; registry agent; support vector machine; vibration condition monitoring; Artificial neural networks; Condition monitoring; Feature extraction; Intelligent systems; Machine intelligence; Multi-layer neural network; Multiagent systems; Multilayer perceptrons; Neural networks; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
978-1-4244-0990-7
Type
conf
DOI
10.1109/ICSMC.2007.4413641
Filename
4413641
Link To Document