DocumentCode :
157680
Title :
Modelling transformer short-circuit reliability using multi-stress accelerated test data
Author :
Patel, B. ; Wang, Z. ; Milanovic, Jovica V. ; Jarman, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
The high level of reliability experienced by power transformers has led to the situation that a large number of aged units are still operating in the power systems. However, uncertainty on how transformers behave when aged causes concerns over the existence of possible hidden failure modes, which have yet to be revealed by failure data. In order to establish whether aged transformers are able to maintain their operational capability when exposed to system events, such as short-circuits, multi-stress parameter analysis is required. In this paper the procedure of modelling multi-stress accelerated test data is demonstrated by using the results of a previously published paper concerning the combined effect of ageing and short-circuit forces. The results are subsequently used to determine the short-circuit reliability of transformers, through the use of a cumulative damage model. It is shown that reliability models can be constructed and justified based on an understanding of the failure mode. However, application of the results remains tentative due to the recognised shortcomings of the modelling procedure.
Keywords :
ageing; life testing; power transformer testing; reliability; cumulative damage model; hidden failure modes; multistress accelerated test data; multistress parameter analysis; transformer short-circuit reliability; Aging; Data models; Insulation; Power transformer insulation; Reliability; Stress; accelerated aging; asset management; censored data; lifetime modelling; maximum likelihood estimation; power transformers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960670
Filename :
6960670
Link To Document :
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