Dissolved gas analysis based fuzzy logic feamework for power transformer asset management

. Dissolved Gas Analysis (DGA) is a vital tool for monitoring power transformer conditions. Despite its effectiveness, current interpretation techniques lack consistency and often rely on personnel experience, leading to varied conclusions for the same oil sample. This paper proposes a fuzzy logic approach to standardize DGA interpretation, aiming to establish a uniform method for critical transformer ranking and informed asset management decisions. The approach integrates existing DGA interpretation techniques into an expert model, enhancing reliability. The model, developed from 338 oil samples, offers a consistent and accurate basis for transformer condition assessment and asset management.