Results 31 to 40 of about 2,488 (168)

Enhanced Method for Localization of Partial Discharges in Oil-Filled Transformers Using Acoustic Emission Signals

open access: yesInternational Journal of Prognostics and Health Management
Accurate measurement of partial discharges (PD) in power transformers is crucial for fault identification and effective maintenance planning. Acoustic emission (AE) sensing, less susceptible to external electromagnetic interference, offers non-invasive ...
Yasutomo Otake, Kunihiko Tajiri
doaj   +1 more source

Development of methods for measuring partial discharges in the solid insulation with gaseous defects of power transformers

open access: yesJournal of Electrical Systems and Information Technology
This article presents a research project aimed at developing a method for measuring the intensity of the electric field inducing partial discharges (PDs) in a gaseous defect within a solid insulator.
Nyetereye Frederic   +2 more
doaj   +1 more source

Spectral Method for Localization of Multiple Partial Discharges in Dielectric Insulation of Hydro-Generator Coils: Simulation and Experimental Results

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications
A methodology based on spectral analysis for localization of multiple partial discharges in dielectric region of hydro-generator coils is proposed. This pinpointing of multiple discharges aims to provide means for performing diagnosis of insulating ...
Rodrigo M. S. de Oliveira   +4 more
doaj   +1 more source

Effects of shorter phase-resolved partial discharge duration on PD classification accuracy

open access: yesInternational Journal of Power Electronics and Drive Systems (IJPEDS), 2020
<span>Partial discharge (PD) pattern recognition is useful to diagnose insulation condition. PD measurement data is commonly represented in phase-resolved partial discharge (PRPD) format. PRPD is useful as it provides a visible pattern for different PD source and various features can be extracted for PD pattern recognition.
Xin, Chong Wan   +4 more
openaire   +4 more sources

A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique

open access: yesSensors, 2018
Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power ...
Jorge Alfredo Ardila-Rey   +6 more
doaj   +1 more source

Online Monitoring of Partial Discharges in Large Power Transformers Using Ultra-High Frequency and Acoustic Emission Methods: Case Studies

open access: yesEnergies
Partial discharges (PDs) are one of the leading causes of catastrophic power transformer failures. To prevent such failures, online PD monitoring systems are increasingly being implemented.
Wojciech Sikorski, Jaroslaw Gielniak
doaj   +1 more source

A Novel Approach for Partial Discharge Measurements on GIS Using HFCT Sensors

open access: yesSensors, 2018
This paper presents a novel measuring system for partial discharge (PD) measurements in Gas Insulated Systems (GIS) using high frequency current transformers (HFCT).
Armando Rodrigo Mor   +2 more
doaj   +1 more source

Decomposition Characteristics of SF6 and Partial Discharge Recognition under Negative DC Conditions

open access: yesEnergies, 2017
Four typical types of artificial defects are designed in conducting the decomposition experiments of SF6 gas to obtain and understand the decomposition characteristics of SF6 gas-insulated medium under different types of negative DC partial discharge (DC-
Ju Tang   +5 more
doaj   +1 more source

Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review

open access: yesApplied Sciences
Power transformers, like other High-Voltage (HV) electrical equipment, experience aging and insulation degradation due to chemical, mechanical and electrical forces during their operation. Partial discharges (PD) are among the most predominant insulation
Lucas T. Thobejane, Bonginkosi A. Thango
doaj   +1 more source

Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources

open access: yesEnergies, 2017
This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault classes.
Abdullahi Abubakar Mas’ud   +4 more
doaj   +1 more source

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