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 …
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …
A systematic review on imbalanced learning methods in intelligent fault diagnosis
The theoretical developments of data-driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …
achievements and significantly benefited industry practices. However, most methods are …
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Intelligent fault diagnosis based on deep learning has yielded remarkable progress for its
strong feature representation capability in recent years. Nevertheless, in engineering …
strong feature representation capability in recent years. Nevertheless, in engineering …
[HTML][HTML] Precise transformer fault diagnosis via random forest model enhanced by synthetic minority over-sampling technique
Power transformers are considered one of the power system's most critical and expensive
assets. In this regard, it is vital to assess the fault within the power transformer considering …
assets. In this regard, it is vital to assess the fault within the power transformer considering …
[PDF][PDF] Optimization of a 660 MW e supercritical power plant performance—a case of industry 4.0 in the data-driven operational management part 1. Thermal efficiency
This paper presents a comprehensive step-wise methodology for implementing industry 4.0
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …
Incipient fault diagnosis in power transformers by data-driven models with over-sampled dataset
SM de Andrade Lopes, RA Flauzino… - Electric Power Systems …, 2021 - Elsevier
Early diagnosis of incipient faults in power transformers enables their predictive
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
Adsorption of dissolved gases (CO, H2, CO2) produced by partial discharge in converter transformer oil by CuO (1, 2) and Ag2O (1, 2) clusters doped with MoTe2: A …
T Jiang, H Xie, H Wu, L Chen, M Bi, X Chen - Materials Today …, 2024 - Elsevier
Density functional theory (DFT) was used to analyze the effect of (CuO) n,(Ag 2 O) n (n= 1, 2)
cluster-doped MoTe 2 on the three gases (CO, H 2 and CO 2) adsorption performance and …
cluster-doped MoTe 2 on the three gases (CO, H 2 and CO 2) adsorption performance and …
[HTML][HTML] Power transformer fault diagnosis using neural network optimization techniques
Artificial Intelligence (AI) techniques are considered the most advanced approaches for
diagnosing faults in power transformers. Dissolved Gas Analysis (DGA) is the conventional …
diagnosing faults in power transformers. Dissolved Gas Analysis (DGA) is the conventional …
[HTML][HTML] 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 …
dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed …
[HTML][HTML] Power transformer fault diagnosis based on dissolved gas analysis by correlation coefficient-DBSCAN
Y Liu, B Song, L Wang, J Gao, R Xu - Applied Sciences, 2020 - mdpi.com
The transformers work in a complex environment, which makes them prone to failure.
Dissolved gas analysis (DGA) is one of the most important methods for oil-immersed …
Dissolved gas analysis (DGA) is one of the most important methods for oil-immersed …