Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System

Abstract

Power transformer plays a critical role in the reliability of the electrical networks. Thus, continuous monitoring and management of power transformers is of great importance. This research study aims at developing an integrated life estimation and asset management decision model based on adaptive neuro fuzzy inference system. Implementation of this methodology is expected to project patterns in the practical measurements history of power transformers and to provide utilities with a more reliable asset management tool.