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 …

Overview and partial discharge analysis of power transformers: A literature review

MR Hussain, SS Refaat, H Abu-Rub - IEEE Access, 2021 - ieeexplore.ieee.org
The high voltage power transformer is the critical element of the power system, which
requires continuous monitoring to prevent sudden catastrophic failures and to ensure an …

Bayesian networks in fault diagnosis

B Cai, L Huang, M Xie - IEEE Transactions on industrial …, 2017 - ieeexplore.ieee.org
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …

Dissolved gas analysis evaluation in electric power transformers using conventional methods a review

J Faiz, M Soleimani - IEEE Transactions on Dielectrics and …, 2017 - ieeexplore.ieee.org
Transformers are the most important equipment in power systems, and their failure can
cause serious problems. In order to avoid hazardous operating conditions and reduce …

Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network

J Dai, H Song, G Sheng, X Jiang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) of insulating oil can provide an important basis for transformer
fault diagnosis. To improve diagnosis accuracy, this paper presents a new transformer fault …

Advances in DGA based condition monitoring of transformers: A review

SA Wani, AS Rana, S Sohail, O Rahman… - … and Sustainable Energy …, 2021 - Elsevier
Abstract Dissolved Gas Analysis (DGA) is a standout diagnostic strategy to recognise
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …

[HTML][HTML] Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion

M Demirci, H Gözde, MC Taplamacioglu - International Journal of Electrical …, 2023 - Elsevier
Power transformers are one of the most important and costly equipment for the reliability and
continuity of electrical power systems. For this reason, continuous monitoring of power …

Power transformer fault diagnosis based on DGA using a convolutional neural network with noise in measurements

IBM Taha, S Ibrahim, DEA Mansour - IEEE Access, 2021 - ieeexplore.ieee.org
Fault type diagnosis is a very important tool to maintain the continuity of power transformer
operation. Dissolved gas analysis (DGA) is one of the most effective and widely used …

Reliable IoT paradigm with ensemble machine learning for faults diagnosis of power transformers considering adversarial attacks

MN Ali, M Amer, M Elsisi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Power transformer represents an important equipment in electric power systems.
Transformers are not only a source of power outages for electric utilities, but they also affect …

Dynamic fault prediction of power transformers based on hidden Markov model of dissolved gases analysis

J Jiang, R Chen, M Chen, W Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Dissolved gases analysis (DGA) provides widely recognized practice for oil-immersed
power transformers, and it is mainly interpreted for fault diagnosis. In order to accurately …