DocumentCode :
1986819
Title :
Towards enhancing insulation condition monitoring of electric machines using a signal processing based technique
Author :
Barkat, B. ; Al-Musabi, N. ; Poshtan, M.
Author_Institution :
Electr. Eng. Program, Pet. Inst., Abu Dhabi
fYear :
2007
fDate :
12-15 Feb. 2007
Firstpage :
1
Lastpage :
4
Abstract :
The Oil/Gas industry is facing two major problems with its aging electric power generators. First, the Oil/Gas industry experience long outages of these power generation units for re-winding, during a time when power is extremely needed. Second, these fixed-interval scheduled maintenance practices are very costly as on average they cost around US$1 million per machine. To address these problems, we propose to develop an effective, reliable and automatic signal processing based technique to monitor the insulation condition of electric machines.
Keywords :
condition monitoring; electric generators; gas industry; petroleum industry; signal processing; condition monitoring; electric machines; electric power generators; oil-gas industry; power generation units; signal processing based technique; Aging; Condition monitoring; Dielectrics and electrical insulation; Electric machines; Gas industry; Job shop scheduling; Maintenance; Petroleum; Power generation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
Type :
conf
DOI :
10.1109/ISSPA.2007.4555407
Filename :
4555407
Link To Document :
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