As one step toward the future smart grid, condition monitoring is important to facilitate the
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …

Power cables, the most critical component of the power system, must be extremely reliable
in order to avoid revenue losses due to premature failure. The dielectric properties of cable …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

It is well known that a correlation exist between the pattern of partial discharge (PD)
behavior and the insulation quality. Since different sources of partial discharge have their …

Power utilities are struggling to reduce power failure incidents in substations and their
components to operate more reliably and economically [1]. Many power failures are …

This paper introduces a new application of deep belief network (DBN) as an emerging
artificial neural network for recognizing and classifying different partial discharge (PD) …

Partial discharge (PD) signal classification analysis on cross-linked polyethylene (XLPE)
cables is complex, requiring a comprehensive understanding of the characteristics of PD …

This paper examines the recent advances made in the field of Deep Learning (DL) methods
for the automated identification of Partial Discharges (PD). PD activity is an indication of the …

Partial discharge (PD) measurement and identification have great importance to condition
monitoring of power transformers. In this paper, a new method for recognition of single and …

In modern power systems, condition based monitoring and diagnosis is essential to ensure
the effective and reliable operation of different high voltage equipment (HVE). Compared to …