Condition monitoring of high voltage apparatus is of much importance for the maintenance
of electric power systems. Whether it is detecting faults or partial discharges that take place …

Recently, the Internet of Things (IoT) has an important role in the growth and development of
digitalized electric power stations while offering ambitious opportunities, specifically real …

Partial discharge (PD) pattern recognition approaches are designed to identify the types or
severities of the insulation defects within the high voltage equipment, which is vital for …

Artificial intelligence-based solutions and applications have great potential in various fields
of electrical power engineering. The problem of the electrical reliability of power equipment …

Diagnosis and location of partial discharge (PD) are the basis for ensuring the reliable
operation of gas-insulated switchgear (GIS). Current PD diagnosis and localization are …

Deep neural networks (DNNs) are widely used for fault classification using partial
discharges (PDs) to evaluate various electrical apparatuses and achieve high classification …

Convolutional neural network (CNN) has been extensively used in pattern recognition of
partial discharge (PD) in gas-insulated switchgear (GIS) because of its powerful feature …

Measurement and recognition of partial discharge (PD) is a fundamental tool for condition
monitoring and fault diagnosis of high-voltage (HV) transformers. Several machine learning …

Partial discharge (PD) is the main feature that effectively reflects the internal insulation
defects of gas-insulated switchgear (GIS). It is of great significance to diagnose the types of …

In the resilient and reliable electrical power system, the condition of high voltage insulation
plays a crucial role. In the field of high voltage insulation integrity, the partial discharge (PD) …