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On-Line Monitoring and Diagnostic System for Turbine-Generator Sets

by Firas M. Tuaimah, F. J.al-azawi, Mohammed K. Hadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 2
Year of Publication: 2014
Authors: Firas M. Tuaimah, F. J.al-azawi, Mohammed K. Hadi
10.5120/15478-4175

Firas M. Tuaimah, F. J.al-azawi, Mohammed K. Hadi . On-Line Monitoring and Diagnostic System for Turbine-Generator Sets. International Journal of Computer Applications. 89, 2 ( March 2014), 56-61. DOI=10.5120/15478-4175

@article{ 10.5120/15478-4175,
author = { Firas M. Tuaimah, F. J.al-azawi, Mohammed K. Hadi },
title = { On-Line Monitoring and Diagnostic System for Turbine-Generator Sets },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 2 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 56-61 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number2/15478-4175/ },
doi = { 10.5120/15478-4175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:15.358886+05:30
%A Firas M. Tuaimah
%A F. J.al-azawi
%A Mohammed K. Hadi
%T On-Line Monitoring and Diagnostic System for Turbine-Generator Sets
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 2
%P 56-61
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a computational methodology to monitor and diagnose electrical faults in large machines, like turbogenerators. To accommodate monitoring requirements, a mathematical model for the turbogenerator is derived based on the magnetic coupled approach. The turbogenerator stator and rotor currents were the guides in fault diagnosis. Digital Signal Processing techniques were applied for current feature detection and recognition. Results obtained show that such approach of condition monitoring initiates necessary alarms to the operator, as the faults develops, which may help in preventing catastrophic failures of the turbogenerators.

References
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Index Terms

Computer Science
Information Sciences

Keywords

On-line monitoring turbogenerator modeling data base creation diagnostic.