Vague Reliability Analysis for Fault Diagnosis in Power Transformers

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 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 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).