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 …
Overview and partial discharge analysis of power transformers: A literature review
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 …
requires continuous monitoring to prevent sudden catastrophic failures and to ensure an …
Bayesian networks in fault diagnosis
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 …
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 …
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 …
fault diagnosis. To improve diagnosis accuracy, this paper presents a new transformer fault …
Advances in DGA based condition monitoring of transformers: A review
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 …
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 …
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
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 …
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
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 …
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 …
power transformers, and it is mainly interpreted for fault diagnosis. In order to accurately …