ABSTRACT
Transformer health monitoring is a very important and crucial aspect when it comes to transformers, as it is a major static electro-mechanical device in micro and smart grids, so constant monitoring is of paramount importance. Recent innovations in fields like Internet of Things (IoT), machine learning and artificial intelligence have made the process of monitoring, analysing and protecting transformers more efficient and effective. This has further helped in increasing the lifespan of transformers and made the process of monitoring easier as well as in reducing the errors. These technologies have also made remote monitoring of transformers possible as well. In this chapter, various methods of transformer health monitoring systems along with advanced new-age technologies like IoT and machine learning are reviewed.
