This review paper explores the landscape of incipient fault detection methodologies within
power distribution networks. It aims to provide insights into the current state-of-the-art …

In this study, a hyperbolic S-transform-based method is proposed to discriminate most
important transient fault currents of transformers. First, the proposed method discriminates …

Chemical processes are systems that include complicated network of material, energy and
process flow. As time passes, the performance of chemical process gradually degrades due …

This paper presents the methodologies for incipient fault detection in power transformers
both off-line and on-line. An artificial neural network is used to detect faults off-line with …

ABSTRACT A transformer is a vital component in any power system network and its
catastrophic failure may cause disturbance in the proper operation of electrical power …

Incipient transformer faults usually develop slowly, often in the form of gradual deterioration
of insulation due to some cause. Dissolved Gas Analysis (DGA) methods identify faults by …

This paper presents the methodologies for incipient fault detection in Power transformers for
off-line and on-line. An artificial neural network is used to detect off-line faults and whereas …

In this study, the application of S-transform with a frequency-dependent window is proposed
for distinguishing internal incipient faults in transformers. The S-transform is applied to the …

This paper presents a statistical learning method capable of classifying the incidence level
of partial discharges in power transformers. By using the results from acoustic emission …

From the survey of previously published papers, it is found that most of work is done on the
generation and transmission side reliability, whereas little work is done on distribution …