Results 21 to 30 of about 488 (140)
Energies, 2020 The intent of this work is to understand the influence of low energy discharge electric faults in mineral oil and synthetic esters on liquid degradation and gassing tendency at different aging conditions (based on acidity values).
L. Loiselle, U. Mohan Rao, I. Fofana
doaj +1 more source
Feature Selection and Classification of Transformer Faults Based on Novel Meta-Heuristic Algorithm
Mathematics, 2022 Detecting transformer faults is critical to avoid the undesirable loss of transformers from service and ensure utility service continuity. Transformer faults diagnosis can be determined based on dissolved gas analysis (DGA).
El-Sayed M. El-kenawy +7 more
doaj +1 more source
IEEE Access, 2021 Fault type diagnosis is a very important tool to maintain the continuity of power transformer operation. Dissolved gas analysis (DGA) is one of the most effective and widely used techniques for predicting the power transformer fault types. In this paper,
Ibrahim B. M. Taha +2 more
doaj +1 more source
Automatika, 2023 The current work aims to propose an adequate thermodynamic model, in addition to proposing and evaluating two composite models for the thermal decomposition of insulating mineral oil (IMO), considering that the models based on classical diagnostic ...
A. Manjula +6 more
doaj +1 more source
Diagnosing the type and location of the transformer fault by analyzing the dissolved gas using fuzzy logic [PDF]
هوش محاسباتی در مهندسی برقThere are many methods to diagnose transformer faults, including dissolved gas analysis (DGA), done in two conventional and smart ways. This paper presents a new method based on fuzzy logic and 5 DGA methods (key gas method, Durenberg's ratio method ...
Mohamad Beiranvand, Asghar Akbari Froud
doaj +1 more source
Enhancing the Diagnostic Accuracy of DGA Techniques Based on IEC-TC10 and Related Databases
IEEE Access, 2021 Investigating and enhancing the accuracy of widespread dissolved gas analysis (DGA) techniques based on IEC-TC10 and related databases was implemented. The current work aimed to help the experts to diagnose the transformers’ faults accurately. The
Osama E. Gouda +2 more
doaj +1 more source
Energies, 2020 The article describes a case study when the voltage collapse during lightning impulse tests of new power transformers was noticed and when the repeated tests finished with a positive result.
Tomasz Piotrowski +3 more
doaj +1 more source
Fault diagnosis of transformer using artificial intelligence: A review
Frontiers in Energy Research, 2022 Transformer is one of the important components of the power system, capable of transmitting and distributing the electricity generated by renewable energy sources.
Yan Zhang +3 more
doaj +1 more source
Journal of Renewable Energy, Electrical, and Computer Engineering, 2022 The power transformer would have happened disturbanced that can cause a failure at a transformer. For this condition needed to maintenance power transformer, one of which is by analyzing transformer oil by using the TDCG method. This analysis is carried out to determine the diagnosis of faults in the transformer.
Rastra Furqaranda +4 more
openaire +1 more source
Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization
IEEE Access, 2021 The early detection of the transformer faults with high accuracy rates guarantees the continuous operation of the power system networks. Dissolved gas analysis (DGA) is a technique that is used to detect or diagnose the transformer faults based on the ...
Sherif S. M. Ghoneim +3 more
doaj +1 more source