Assessing the performance of insulating fluids via point of statistical inference view

Abstract

In this paper, the statistical inference is used in order to study the performance or aging of the insulating fluids. Transformer oil is used as an example of insulating fluids. The insulation property of insulating oil or transformer oil is lost by consumption. Breakdown tests are performed to check oil’s efficiency, but the cost of these tests is not inexpensive. Hence this statistical study aims to reduce the cost of these tests by applying statistical inference approaches to censored data. The Type-II Gumbel distribution fits well real-life data which contains failure times to breakdown of an insulating fluid between electrodes. The Type-II hybrid censored scheme is proposed to assess the study and also to reduce the cost of breakdown tests in practical tests.