A multi agent system for monitoring industrial gas turbine start-up sequences

Author

Mangina, Eleni E. ; McArthur, Stephen D J ; McDonald, J.R. ; Moyes, Alan

Author_Institution

Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK

Volume

16

Issue

3

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

396

Lastpage

401

Abstract

This paper introduces a novel technique for the condition monitoring of gas turbine start up sequences. The vast amount of data and the complex processes behind online fault detection indicate the need for an automated solution. A multi agent system that views the problem as the interaction of simple independent software entities, for effective use of the available data, is presented. The overall solution is derived from the combination of partial solutions provided by the components of the multi-agent system. As a consequence, data interpretation is achieved by converting the data into appropriate information and combining individual agents´ information, resulting in an automatic fault diagnosis for the engineers. This multi-agent system can employ various intelligent system techniques and has been implemented using the ZEUS Agent building Toolkit

Keywords

computerised monitoring; condition monitoring; fault diagnosis; gas turbines; multi-agent systems; power engineering computing; starting; ZEUS Agent building Toolkit; automatic fault diagnosis; condition monitoring; data interpretation; industrial gas turbine; multi agent system; online fault detection; start-up sequences monitoring; Condition monitoring; Data engineering; Fault detection; Fault diagnosis; Gas industry; Intelligent agent; Intelligent structures; Intelligent systems; Multiagent systems; Turbines;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.932274

Filename

932274