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 …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Online partial discharge (PD) measurements have long been used as an effective means to
assess the condition of the stator windings of large generators. An increase in the use of PD …

In this paper, we use cross wavelet transform (XWT) for the analysis and classification of
electrocardiogram (ECG) signals. The cross-correlation between two time-domain signals …

The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …

This article presents a new convolutional neural network (CNN) topology using wavelet
kernels to detect and discriminate single or multiple partial discharge (PD) locations in high …

This paper proposes a self-adaptive technique for partial discharge (PD) signal denoising
with automatic threshold determination based on ensemble empirical mode decomposition …

A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art
diagnostic techniques backed by extensive research data Offers a comprehensive coverage …

Denoising is a key step in diagnosis and evaluation of partial discharge (PD) signals in
power transformers. In this paper, a new PD signal denoising algorithm is presented, which …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …