Computational Analysis of No-Core Fiber Sensor for Detecting Aging Traces in Transformer Oil

The presence of aging traces in transformer oil poses a significant concern for industries heavily dependent on power transformers, as it can potentially lead to breakdowns that disrupt critical business processes. This paper introduces a computational analysis study of a no-core fiber (NCF) sensor for detecting aging traces in transformer oil. Employing the Wave Optics Module in COMSOL Multiphysics 5.5®, the computational analysis study delves into the efficacy of the no-core fiber (NCF) sensor in detecting transformer oil with refractive indices spanning from 1.46 RIU to 1.55 RIU, encompassing the typical aging range of transformer oil. The study explores various parameters, including electric field distribution, mode field diameter, and effective mode index, across a spectrum of refractive index (RI) values. The findings highlight the potential of the sensor for effectively evaluating and analyzing aging traces in transformer oil by observing the RI and electric field intensity changes. This research lays the groundwork for future applications of the sensor in real-time scenarios especially for high-RI implementation conditions, offering a promising avenue for enhancing the reliability and longevity of power transformer systems.