Power transformer fault detection: A comparison of standard machine learning and autoML approaches

G Santamaria-Bonfil, G Arroyo-Figueroa… - Energies, 2023 - mdpi.com
A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …

Discernment of transformer oil stray gassing anomalies using machine learning classification techniques

MK Ngwenyama, MN Gitau - Scientific Reports, 2024 - nature.com
This work examines the application of machine learning (ML) algorithms to evaluate
dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed …

[HTML][HTML] Adaptive thermal model for loading of transformers in low carbon electricity distribution networks

RO Oliyide, LM Cipcigan - Scientific African, 2023 - Elsevier
The uptake of low carbon technologies, particularly Electric Vehicles (EVs) and Heat-Pumps
(HPs), at the low voltage (LV) distribution network, in the quest of cutting down on …

Power Transformer Condition-Based Evaluation and Maintenance (CBM) Using Dempster–Shafer Theory (DST)

D Blažević, T Keser, H Glavaš, R Noskov - Applied Sciences, 2023 - mdpi.com
Transformers are the most important elements in the power system. Due to their mass and
complexity, they require constant monitoring and maintenance. Maintenance of power …

[HTML][HTML] Fault Diagnosis in Power Generators: A Comparative Analysis of Machine Learning Models

Q Amaya-Sanchez, MJM Argumedo… - Big Data and Cognitive …, 2024 - mdpi.com
Power generators are one of the critical assets of power grids. The early detection of faults in
power generators is essential to prevent cutoffs of the electrical supply in the power grid …

[HTML][HTML] Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array

F Liu, Y Shi, S Zhang, W Wang - Sensors, 2024 - mdpi.com
The power transformer is one of the most crucial pieces of high-voltage equipment in the
power system, and its stable operation is crucial to the reliability of power transmission …

health index of transformer's monitoring using artificial intelligent

FR Hashim, Y Januar… - Zulfaqar Journal of …, 2023 - zulfaqarjdset.upnm.edu.my
Abstract Dissolve Gas Analysis (DGA) for transformers is used to differentiate between a
transformer in good condition and one which needs to schedule for maintenance. The main …

[PDF][PDF] Power Transformer Fault Detection: A Comparison of Standard Machine Learning and autoML Approaches. Energies 2023, 16, x

G Santamaria-Bonfil, G Ar-royo-Figueroa… - 2023 - researchgate.net
A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …

Fault Diagnosis of Power Transformer Based on Improved Neural Network

H Ma, H Song, C Meng, R Wang - 2024 5th International …, 2024 - ieeexplore.ieee.org
To detect the latent fault of a power transformer before it is too late and improve the accuracy
of fault diagnosis, this paper proposes a fault diagnosis method for power transformers …

Transformer fault identification method based on GASF‐AlexNet‐MSA transfer learning

X Zhang, K Yang, L Jia - International Journal of Circuit Theory and … - Wiley Online Library
The transformer is an important part of the power system and ensures the stable operation of
the power grid and electricity safety key equipment. With the increase in electricity demand …