DocumentCode :
3104340
Title :
Generator end winding vibration monitoring
Author :
Shally, David ; Farrell, Michael ; Sullivan, Kevin
Author_Institution :
Dublin Inst. of Technol., Dublin
fYear :
2008
fDate :
1-4 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
The principal focus of this paper is the development of regression based models for the prediction of vibration levels in the end windings of a 288 MVA gas turbine generator. These models are part of a wider end-winding monitoring system. For the purpose of this study, a regression approach was applied. This approach was selected, as it did not require any additional major investment in hardware or software once the original system had been installed. Equipment already available at the plant was utilised to enhance the capabilities of the monitoring system. These models should prove a valuable and straight-forward tool in assessing the condition of the machine end-windings.
Keywords :
machine windings; power system measurement; regression analysis; turbogenerators; apparent power 288 MVA; end-winding monitoring system; gas turbine generator; machine end-windings; regression based model; vibration level prediction; Coils; Condition monitoring; Frequency; Inspection; Job shop scheduling; Machine windings; Manufacturing; Predictive models; Stator cores; Uninterruptible power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location :
Padova
Print_ISBN :
978-1-4244-3294-3
Electronic_ISBN :
978-88-89884-09-6
Type :
conf
DOI :
10.1109/UPEC.2008.4651488
Filename :
4651488
Link To Document :
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