Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic

Abstract

This paper reviews the use of fuzzy logic (FL) for dissolved gas analysis (DGA) of mineral oil for power transformer fault diagnosis (PTFD). A brief overview of conventional PTFD techniques using DGA of mineral oil is firstly surveyed. Then, applications of FL techniques for PTFD reported in international journals for evaluating power transformer conditions are extensively reviewed. Various FL techniques for PTFD have been developed to reduce operating costs, enhance operational reliability, and improve power and services supplied to customers. These FL techniques enable researchers to analyze fault phenomena and diagnose transformer faults, and these approaches have evolved rapidly as highly effective approaches for PTFD. Potential improvements to FL-based systems are also discussed. Our conclusion is that no single DGA technique enables detection of the full range of faults, which is needed for reliable assessment of all power transformer conditions. Therefore, the most effective PTFD technique is to combine outputs from various DGA diagnostic methods and to aggregate them into an overall evaluation.