This paper presents a state-of-the-art review on machine learning (ML) based intelligent
diagnostics that have been applied for partial discharge (PD) detection, localization, and …

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

This paper aims to improve recognition accuracies of partial discharge (PD) of complex data
sources by employing deep convolutional neural network (DCNN). First, a dataset with …

Partial discharge (PD) is not only an important symptom for monitoring the imperfections in
the insulation system of a gas-insulated switchgear (GIS), but also the factor that accelerates …

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 …

Partial discharge (PD) detection and analysis plays a crucial role for acceptance testing and
condition monitoring of power cables. Various aspects are related to PD in power cables …

摘要由于变电站现场环境复杂多样, 实测的局部放电(PD) 数据存在大量的干扰信号.
为提高含噪PD 类型识别准确度, 提出一种基于加速鲁棒特征(SURF) 和改进支持向量机 …

Abstract The Multi-Layer Perceptron (MLP) has been applied into many real-world problems
as one of the most extensively used Neural Networks (NNs). It often suffers from local …

Cable joints are the weakest point in cross-linked polyethylene (XLPE) cables and are
susceptible to insulation failures. Partial discharge (PD) analysis is a vital tool for assessing …