Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review
This review paper summarizes the discoveries made about dissolved gas analysis (DGA)
conventional methods around the decade. DGA is a well-known diagnostic tool to classify …
conventional methods around the decade. DGA is a well-known diagnostic tool to classify …
A review on transformer condition monitoring with critical investigation of mineral oil and alternate dielectric fluids
Transformers are very critical elements of modern power system network and have evolved
in many ways over its long history. Transformers are most significant apparatus in …
in many ways over its long history. Transformers are most significant apparatus in …
Feature selection and classification of transformer faults based on novel meta-heuristic algorithm
Detecting transformer faults is critical to avoid the undesirable loss of transformers from
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
Reliable estimation for health index of transformer oil based on novel combined predictive maintenance techniques
M Badawi, SA Ibrahim, DEA Mansour… - IEEE …, 2022 - ieeexplore.ieee.org
Transformer oil insulation condition may be deteriorated due to electrical and thermal faults,
which may lead to transformer failure and system outage. In this regard, the first part of this …
which may lead to transformer failure and system outage. In this regard, the first part of this …
[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 …
[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 …
A power transformer fault diagnosis method-based hybrid improved seagull optimization algorithm and support vector machine
Y Wu, X Sun, Y Zhang, X Zhong, L Cheng - Ieee Access, 2021 - ieeexplore.ieee.org
The method of Support Vector Machine (SVM) based on Dissolved Gas Analysis (DGA) has
been studied in the field of power transformer fault diagnosis. However, there are still some …
been studied in the field of power transformer fault diagnosis. However, there are still some …
Prediction of groundwater quality index using classification techniques in arid environments
Assessing water quality is crucial for improving global water resource management,
particularly in arid regions. This study aims to assess and monitor the status of groundwater …
particularly in arid regions. This study aims to assess and monitor the status of groundwater …
Autonomous selection of the fault classification models for diagnosing microservice applications
Y Song, R Xin, P Chen, R Zhang, J Chen… - Future Generation …, 2024 - Elsevier
Microservices architecture is a new approach for deploying applications and services in the
cloud, gaining popularity for constructing large-scale systems that are highly resilient, robust …
cloud, gaining popularity for constructing large-scale systems that are highly resilient, robust …
Designing efficient and sustainable predictions of water quality indexes at the regional scale using machine learning algorithms
Water quality and scarcity are key topics considered by the Sustainable Development Goals
(SDGs), institutions, policymakers and stakeholders to guarantee human safety, but also …
(SDGs), institutions, policymakers and stakeholders to guarantee human safety, but also …