Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …

Transformers have emerged as an integrated part of a power system. Any fault in the
transformer can cause a severe outage, which therefore necessitates continuous monitoring …

The condition monitoring and fault diagnosis of power transformers plays a significant role in
the safe, stable and reliable operation of the whole power system. Dissolved gas analysis …

One of the main causes of power transformer failures is due to inter turn short circuit faults. It
is a challenging problem to the power engineers to detect these faults at an early stage. If …

A novel specific transformer fault diagnostic method based on combinatorial Bayesian
network method with AdaBoostMl is proposed in this paper and a combinatorial transformer …

This paper proposes the application of computational intelligence techniques to assist
complex problems concerning lightning in transformers. In order to estimate the currents …

Power transformer is the most important and most expensive part of electric power
transmission and distribution networks. Among different faults identifying in transformers …

Transformers are considered as the most important and expensive distribution and transfer
networks of electrical energy. Among different fault identifying in transformers, identifying …

This paper presents an approach for detecting and locating transformer inter-turn faults
using continuous wavelet transform (CWT) and convolutional neural network (CNN) …

Özet Yüksek gerilim aygıtları üzerinde yapılan ölçme, deney ve durum izlemede elde edilen
verilerin üzerine ortam koşulları, malzeme özellikleri, gerilim-akım karakteristikleri gibi pek …