Results 41 to 50 of about 727 (167)

Dissolved gas content forecasting in power transformers based on Least Square Support Vector Machine (LSSVM)

Latin-American Journal of Computing, 2017
Taking into account the chaotic characteristic of gas production within power transformers, a Least Square Support Vector Machine (LSSVM) model is implemented to forecast dissolved gas content based on historical chromatography samples.
Roberto Fiallos
doaj  

Internal Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Deep Learning Technique [PDF]

هوش محاسباتی در مهندسی برق
The most common method for detecting internal faults in power transformers is the dissolved gas analysis (DGA) technique. The application of deep learning approaches in analyzing dissolved gases in oil faces challenges related to the scarcity of reliable
Mohsen Kariman Majd, Mohsen Niasati
doaj   +1 more source

Incorporation of Selenium into Sol–Gel‐Derived Bioactive Glass: Influence on Glass Structure, Bioactivity, and its Selective Cytotoxicity

Advanced Engineering Materials, Volume 28, Issue 14, 22 July 2026.
Selenium was incorporated into a sol–gel‐derived bioactive glass to enable sustained therapeutic ion release. The selenium‐containing glass preserved bioactivity while selectively inducing cytotoxicity in osteosarcoma cells and maintaining osteoblastic viability.
Breno Rocha Barrioni, Thalita Marcolan Valverde, Talita Martins, Guilherme Mattos Jardim Costa, Alfredo Miranda de Goes, Marcello Rosa Dumont, Eduardo Henrique Martins Nunes, Marivalda de Magalhães Pereira   +7 more
wiley   +1 more source

Insulation system diagnosis in power transformers using DGA analysis and Megger DC

Ingeniería e Investigación
Dissolved gas chromatography (DGA) analysis and Megger DC insulation tests are performed to diagnose the condition of a power transformer. In this context, the objective of this study is to assess whether there is a relationship between both types of ...
Juan Sebastian Juris Zapata, Iván Camilo Durán Tovar, Josimar Tello Maita, Agustin Marulanda Guerra   +3 more
doaj   +1 more source

A Methodology for the Calculation of Typical Gas Concentration Values and Sampling Intervals in the Power Transformers of a Distribution System Operator

Energies, 2020
Predictive maintenance strategies in power transformers aim to assess the risk through the calculation and monitoring of the health index of the power transformers.
Sergio Bustamante, Mario Manana, Alberto Arroyo, Raquel Martinez, Alberto Laso   +4 more
doaj   +1 more source

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, Volume 13, Issue 41, 22 July 2026.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

Localizing Root Causes of Incipient Failures of Distribution Oil‐Immersed Transformer Using a Distinctive Dynamic Multi‐Scale Attention CNN‐LSTM Algorithm via Composite Multiple Data Integration for Transformer Predictive Maintenance

Engineering Reports, Volume 8, Issue 7, July 2026.
The root cause localization framework in Figure 1 is an extension of anomaly detection where further insights on incipient transformer faults or failures are analyzed. The framework aims to provide a complete diagnostic solution to detected anomalies to ensure efficient transformer maintenance while minimizing downtimes and allowing for optimal use of ...
E. Tamakloe, B. Kommey, J. J. Kponyo, D. Opoku   +3 more
wiley   +1 more source

Dissolved Gas Generation Characteristics of Dielectric Liquids Under Partial Discharges and Breakdown Sparks

High Voltage
With the growing interest in monitoring and diagnostic techniques for assessing transformer condition, dissolved gas analysis (DGA) stands out as a crucial diagnostic tool to detect electrical and thermal faults in liquid‐immersed transformers ...
Gechen Bian, Qiang Liu, Paul Jarman, Pascal Mavrommatis   +3 more
doaj   +1 more source

A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier

Energies, 2018
Dissolved gas analysis (DGA) is widely used to detect the incipient fault of power transformers. However, the accuracy is greatly limited by selection of DGA features and performance of fault diagnostic model.
Jiake Fang, Hanbo Zheng, Jiefeng Liu, Junhui Zhao, Yiyi Zhang, Ke Wang   +5 more
doaj   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, Volume 14, Issue 7, Page 3132-3148, July 2026.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source