Dissolved gas analysis principle-based intelligent approaches to fault diagnosis and decision making for large oil-immersed power transformers: A survey

L Cheng, T Yu - Energies, 2018 - mdpi.com
Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …

Review for AI-based open-circuit faults diagnosis methods in power electronics converters

C Liu, L Kou, G Cai, Z Zhao, Z Zhang - arXiv preprint arXiv:2209.14058, 2022 - arxiv.org
Power electronics converters have been widely used in aerospace system, DC transmission,
distributed energy, smart grid and so forth, and the reliability of power electronics converters …

A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests

Q Hu, XS Si, QH Zhang, AS Qin - Mechanical systems and signal …, 2020 - Elsevier
Fault diagnosis methods based on dimensionless indicators have long been studied for
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …

[PDF][PDF] 人工智能技术在电力设备运维检修中的研究及应用

蒲天骄, 乔骥, 韩笑, 张国宾, 王新迎 - 高电压技术, 2020 - csee.org.cn
电力设备的运行状态与电力系统的稳定及安全密切相关. 全面, 准确地掌握电力设备的内外部多
源数据, 并通过科学的手段进行信息汇总和融合, 从而对设备的运行状态与变化趋势做出准确的 …

Fault diagnosis for open‐circuit faults in NPC inverter based on knowledge‐driven and data‐driven approaches

L Kou, C Liu, G Cai, J Zhou, Q Yuan… - IET Power …, 2020 - Wiley Online Library
In this study, the open‐circuit faults diagnosis and location issue of the neutral‐point‐
clamped (NPC) inverters are analysed. A novel fault diagnosis approach based on …

Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

Ekojono, RA Prasojo, ME Apriyani, AN Rahmanto - Electrical Engineering, 2022 - Springer
Dissolved gas analysis (DGA) is a powerful tool to monitor the condition of a power
transformer. Several interpretation methods have been proposed, one of the most reliable of …

Designing a composite deep learning based differential protection scheme of power transformers

S Afrasiabi, M Afrasiabi, B Parang… - Applied Soft Computing, 2020 - Elsevier
This paper proposes a novel differential protection scheme based on deep neural networks
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …

Fast discrimination of transformer magnetizing current from internal faults: An extended Kalman filter-based approach

F Naseri, Z Kazemi, MM Arefi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Differential protection is the most common type of protection in power transformers.
However, inrush current due to transformer energization may appear as fault current to the …

Dealing with data uncertainty for transformer insulation system health index

RA Prasojo, A Abu-Siada - Ieee Access, 2021 - ieeexplore.ieee.org
Health index has been widely accepted as a powerful tool for monitoring the condition of
power transformer insulation system based on various diagnostic parameters. While this …

Power differential protection for transformer based on fault component network

F Peng, H Gao, J Huang, Y Guo, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Current differential protection has been widely used as the primary protection of
transformers. However, inrush currents during transformer energization can cause …