Vague reliability analysis for fault diagnosis of cannula fault in power transformer

Abstract

Due to information transmission mistakes as well as arisen errors while processing data in surveying and monitoring state information of any system, uncertain and incomplete information may be produced. Based on these points, present paper extends our study for the development of a vague scheme for fault tree analysis of any general system. The functioning of the developed vague scheme is demonstrated for diagnosis of cannula fault in power transformers using vague fault tree analysis (VFTA) and beta distribution for failure possibility estimation. By using these techniques we have proposed herein, the extension of Pandey et al., in 2011 to define the continuous attribute values transformed into the vague numbers to give a realistic estimate of failure possibility of a basic event in VFTA. Further, it explains a new approach based on Euclidean distance between vague numbers, to rank the basic events in accordance with their Vague Importance Index (VII).

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