Turn-to-turn short circuit fault localization in transformer winding via image processing and deep learning method

A Moradzadeh, H Moayyed… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Frequency response analysis (FRA) suffers from the interpretation of results despite its
potential ability to detect faults related to the power transformer windings. This article …

Identification method of interturn short circuit fault for distribution transformer based on power loss variation

R **an, L Wang, B Zhang, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Interturn short circuit fault of distribution transformer winding occurs frequently and is difficult
to accurately real-time monitoring, which seriously affects the reliability of the distribution …

A robust multi-layer framework for online condition assessment of power transformers

SA Ahmadi, M Sanaye-Pasand - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Online continuous monitoring of dissolved gasses in transformer oil has become an
emerging trend in the recent years. This way, in addition to sending the warning signal in the …

[PDF][PDF] A literature review: Traditional and advanced protection schemes of power transformer

AJ Patil, A Singh, P Scholar - International Journal of Engineering …, 2019 - researchgate.net
Power transformers perform a pivotal role in a power system network in ensuring reliable
power supply to electricity consumers. This paper contributes the concept about different …

Identification of internal fault against external abnormalities in power transformer using hierarchical ensemble extreme learning machine technique

MB Raichura, NG Chothani… - … Science, Measurement & …, 2020 - Wiley Online Library
Various unwanted phenomena that are taken place in the transformer may occasionally mal‐
operate selected fault classification based protective schemes. Hence, it is necessary to …

Knowledge‐based artificial neural network for power transformer protection

Z Li, Z Jiao, A He - IET Generation, Transmission & Distribution, 2020 - Wiley Online Library
Data‐driven and artificial intelligence based transformer protection has attracted increasing
attention but not been widely applied in the power system owing to the poor generalisation …

Quartile based differential protection of power transformer

AM Shah, BR Bhalja, RM Patel, H Bhalja… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
A new technique for power transformer protection, that depends on the calculation of fault
detection ratio (FDR) based on quartile of superimposed differential currents is presented …

Online sensitive turn-to-turn fault detection in power transformers

SA Ahmadi, M Sanaye-Pasand… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Power transformers are of the most critical and expensive equipment in the power system
industry. Meanwhile, they are exposed to a variety of faulty and abnormal operating …

Power disturbance waveform analysis and proactive application in power systems

X **ao, Y Zhou, W Zhang, Y Wang… - Energy Conversion …, 2023 - Wiley Online Library
Power disturbances, defined as the waveform distortion of a power system under normal or
abnormal conditions, contain considerable system and equipment state information …

Inter-turn short-circuit detection through differential admittance monitoring in transformers

M Meira, GR Bossio, CR Ruschetti… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Early detection of inter-turn short-circuits (ITSCs) in power transformers is essential for
ensuring the safe and reliable operation of electrical power systems. Therefore, it is …