Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods

AR Abbasi - Electric Power Systems Research, 2022 - Elsevier
A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …

An overview of state-of-the-art partial discharge analysis techniques for condition monitoring

M Wu, H Cao, J Cao, HL Nguyen… - IEEE electrical …, 2015 - ieeexplore.ieee.org
As one step toward the future smart grid, condition monitoring is important to facilitate the
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …

[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 …

Transformer design and optimization: a literature survey

EI Amoiralis, MA Tsili, AG Kladas - IEEE Transactions on power …, 2009 - ieeexplore.ieee.org
With the fast-paced changing technologies in the power industry, new references
addressing new technologies are coming to the market. Based on this fact, there is an urgent …

Root cause analysis improved with machine learning for failure analysis in power transformers

RMA Velásquez, JVM Lara - Engineering Failure Analysis, 2020 - Elsevier
The root cause analysis, diagnosis and classification of faults in power transformers with
high accuracy and efficiency is the fundamental key to ensure reliability and power quality …

Data quality of electricity consumption data in a smart grid environment

W Chen, K Zhou, S Yang, C Wu - Renewable and Sustainable Energy …, 2017 - Elsevier
With the increasing penetration of traditional and emerging information technologies in the
electric power industry, together with the rapid development of electricity market reform, the …

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 …

Diagnosing faults in power transformers with autoassociative neural networks and mean shift

V Miranda, ARG Castro, S Lima - IEEE Transactions on Power …, 2012 - ieeexplore.ieee.org
This paper presents a new approach to incipient fault diagnosis in power transformers,
based on the results of dissolved gas analysis. A set of autoassociative neural networks or …

Winding condition assessment of power transformers based on vibration correlation

K Hong, H Huang, J Zhou - IEEE Transactions on Power …, 2014 - ieeexplore.ieee.org
In this paper, a winding condition assessment model using vibration signals is presented,
which can be used to diagnose power transformers online. The basic principle of this model …

Design and evaluation of a hybrid system for detection and prediction of faults in electrical transformers

S Al-Janabi, S Rawat, A Patel, I Al-Shourbaji - International Journal of …, 2015 - Elsevier
Transformers are the vital parts of an electrical grid system. A faulty transformer can
destabilize the electrical supply along with the other devices of the transmission system. Due …