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 …

Monitoring the partial discharge (PD) activity of power equipment insulation is crucial to
ensure uninterrupted power system operation. PD occurrence is highly correlated to …

In this article, it is provided a comprehensive survey on the most relevant research in the
area of detection, classification and location of partial discharge (PD) sources using the …

Abnormal discharge in gas-insulated switchgear (GIS) is the key cause of insulation failure,
and it is also an external manifestation of insulation defects. Sensitive discharge source …

This article describes a complete approach to filtering partial discharge (PD) pulses from
interference in high voltage (HV) electrical equipment using supervised machine learning …

Localization based on differences in the timing of an ultrahigh-frequency signal is difficult to
apply in actual settings because of the strict requirement for accurate calculation of the …

Abstract Long Range Wireless Area Network (LoRaWAN) provides desirable solutions for
Internet of Things (IoT) applications that require hundreds or thousands of actively …

Partial discharge (PD) detection and diagnosis based on the ultra-high frequency (UHF)
signals is one of the most widely adopted methods to evaluate the internal insulation status …

ЦЕЛЬ. Разработка метода непрерывного неразрушающего контроля технического
состояния высоковольтных изоляторов на основе регистрации среднего уровня …

With the continuous improvement of power grid intelligent requirements, the Power Internet
of Things develops rapidly. Substation is an important part of the power grid. The real-time …