A Multiple Expert Consensus Model for Transformer Assessment Index Weighting Factor Determination

In composing a Transformer Assessment Index (TAI), weighting factor is a critical consideration. Expert judgment is a common practice in adjusting weighting factor of a TAI. Years of experience from experts is a valuable information to be considered. Several previous researches develop AHP to determine parameter prioritization based on expert judgment. The use of multi-expert can benefit the system developed, but this may lead to another complexity in aggregating the results. As much as five experts with in-depth experience in transformer condition monitoring and diagnostics were taking parts in this study. A row geometric mean method was used to obtain the consensus matrix. This paper proposed an approach to implement the consensus model for multiple experts in power transformer assessment index weighting factor determination using AHP.