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 …

Partial discharge (PD) recognition is an important tool for online monitoring of gas insulated
switchgear (GIS) and diagnosing existing defects. At present, there are two different types of …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

Partial discharge (PD) signals acquired from on-line measurements of power transformers
are easily overwhelmed by various interference and noise. This paper proposes an …

Both the feature extraction method and pattern recognition method are of great importance
to assess the health condition of a power transformer. Since the partial discharge (PD) …

This paper introduces a Deep Scattering network that utilizes Dual-Tree complex wavelets to
extract translation invariant representations from an input signal. The computationally …

As the deficiencies of the classifier algorithm commonly used in the partial discharge pattern
recognition, this paper studied the application of RF in transformer partial discharge pattern …

Image understanding is the task of interpreting images by effectively solving the individual
tasks of object recognition and semantic image segmentation. An image understanding …

Abstract Vibration-Based Condition Monitoring (VBCM) is commonly utilized in Prognostics
and Health Management (PHM) due to its non-destructive nature and inherent advantages …

Partial discharge characteristics are extracted to analyze the potential shortcomings of
transformers. And in order to better study the partial discharge characteristics of …