Active Detection And Identification Of Incipient Faults In Liquid Filled Transformers

Abstract

The failure of power transformers is always an area of significant concern because it can result in millions of dollars in costs, interruption of power, and possible environmental and safety impacts. Therefore, it is desirable to detect the existence of abnormal changes in the transformer’s internal condition and determine whether the changes could lead to a failure. Active detection and identification of incipient faults is now possible through online monitoring of abnormal changes in some parameters and the use of diagnostic methods. This paper gives an overview of a transformer monitoring system and measured signals for the diagnosis of incipient faults.