Results 21 to 30 of about 11,996,404 (122)

Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization

open access: yesIEEE 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

Analisis Kualitas Minyak Trafo Menggunakan Data Dissolved Gas Analysis dan Water Content

open access: yesProtek: Jurnal Ilmiah Teknik Elektro, 2018
Transformer is a vital equipment in the power system. If the transformer is damage, can cause the electrical distribution to the consumer will be disrupted. Therefore, it needs special maintenance the performance of the transformer to avoid damage.
Abdul Syakur, Fanny Rizka Savitri
doaj   +1 more source

Reliable Estimation for Health Index of Transformer Oil Based on Novel Combined Predictive Maintenance Techniques

open access: yesIEEE Access, 2022
Transformer oil insulation condition may be deteriorated due to electrical and thermal faults, which may lead to transformer failure and system outage. In this regard, the first part of this paper presents comprehensive maintenance for power transformers
Mohamed Badawi   +7 more
doaj   +1 more source

Fuzzy Logic Approach to Dissolved Gas Analysis for Power Transformer Failure Index and Fault Identification

open access: yesEnergies, 2020
This research focuses on problem identification due to faults in power transformers during operation by using dissolved gas analysis such as key gas, IEC ratio, Duval triangle techniques, and fuzzy logic approaches.
Nitchamon Poonnoy   +2 more
doaj   +1 more source

Comparison of Dissolved Gases in Mineral and Vegetable Insulating Oils under Typical Electrical and Thermal Faults

open access: yesEnergies, 2016
Dissolved gas analysis (DGA) is attracting greater and greater interest from researchers as a fault diagnostic tool for power transformers filled with vegetable insulating oils.
Chenmeng Xiang   +5 more
doaj   +1 more source

A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers

open access: yesEnergies, 2019
This paper presents a Dynamic Adam and dropout based deep neural network (DADDNN) for fault diagnosis of oil-immersed power transformers. To solve the problem of incomplete extraction of hidden information with data driven, the gradient first-order ...
Minghui Ou   +3 more
doaj   +1 more source

Intelligent Fault Detection of MV/HV Transformers Using Fuzzy Logic Based on DGA

open access: yesEng
Dissolved Gas Analysis (DGA) of power system transformers has emerged as one of the most effective transformer health diagnosing tools by analyzing the gases dissolved in the insulating oil.
Lone Larona Mogotsi   +4 more
doaj   +1 more source

Guidelines for Meta‐Analytic Structural Equation Modeling: Steps, Resources, and Illustrations

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT The goal of science is to build incremental, structured, and reliable knowledge over time. Yet, many strands of marketing and related disciplines exhibit symptoms of cumulative stagnation, including lack of replicability and weak theoretical integration. Existing remedies such as replication studies, multistudy investigations, and open science
Hassam Waheed, Weng Marc Lim
wiley   +1 more source

Comparison between duval triangle and duval pentagon method for dissolved gas analysis of power transformer [PDF]

open access: yes, 2018
Power transformers are the highest value of the equipment installed in high-voltage substations, comprising up to 60% of total investment. There is a need for economic and financial reports to be provided to make asset decisions and ensuring balance ...
Ibrahim, Sharal Aida
core  

A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine

open access: yesIET Nanodielectrics
This contribution presents a two‐step hybrid diagnostic approach, combining k‐means clustering for subset formation, followed by subset analysis conducted by human experts.
Arnaud Nanfak   +5 more
doaj   +1 more source

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