DocumentCode
3011507
Title
Electric material model aging for online diagnostic systems
Author
Svoboda, M. ; Trnka, P. ; Soucek, Jan
Author_Institution
Dept. of Technol. & Meas., Univ. of West Bohemia, Pilsen, Czech Republic
fYear
2012
fDate
23-27 Sept. 2012
Firstpage
987
Lastpage
990
Abstract
Each electrical insulating material or system in large electric machines is precisely designed and later monitored in operation. The task for monitoring the state of the machine is information about rest life time of such as machine. The key element of electrical machine is its electroinsulating system. For proper rest life time calculation of an insulation system it is necessary to have complete information about acting degradation factors. When degradation is measured by on-line diagnostic system this data can be used for prediction of rest life time of its insulation. For “on-line” calculation of rest life time a mathematical or physical model can be employed. Objective for each on-line monitored electrical appliance is to have proper aging model for acting degradation factors. For each electroinsulating system subjected for on-line monitoring has to be known aging model. This model can be obtained by laboratory aging, and it is crucial for obtaining life time curve of the insulating material. In the laboratory conditions it is not an easy task to simulate all the processes proceeding in real application. This paper concern possible laboratory aging and their usage.
Keywords
ageing; electric machines; insulation testing; life testing; machine insulation; mathematical analysis; degradation factors; electric material model aging; electrical insulating material; electrical machine; electroinsulating system; insulation system; laboratory aging; large electric machines; life time curve; mathematical model; online diagnostic systems; physical model; rest life time; Aging; Degradation; Insulation; Laboratories; Materials; Mathematical model; Temperature measurement; activation energy; aging model; laboratory aging; online diagnostic;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-1019-2
Type
conf
DOI
10.1109/CMD.2012.6416320
Filename
6416320
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