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Towards precise interpretation of oil transformers via novel combined techniques based on DGA and partial discharge sensors
Power transformers are considered important and expensive items in electrical power
networks. In this regard, the early discovery of potential faults in transformers considering …
networks. In this regard, the early discovery of potential faults in transformers considering …
Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification
Dissolved gas analysis (DGA) is a powerful tool to monitor the condition of a power
transformer. Several interpretation methods have been proposed, one of the most reliable of …
transformer. Several interpretation methods have been proposed, one of the most reliable of …
Handling imbalanced datasets through optimum-path forest
In the last decade, machine learning-based approaches became capable of performing a
wide range of complex tasks sometimes better than humans, demanding a fraction of the …
wide range of complex tasks sometimes better than humans, demanding a fraction of the …
Fault Detection and Normal Operating Condition in Power Transformers via Pattern Recognition Artificial Neural Network
Aging, degradation, or damage to internal insulation materials often contribute to transformer
failures. Furthermore, combustible gases can be produced when these insulation materials …
failures. Furthermore, combustible gases can be produced when these insulation materials …
Modeling, analysis, and detection of internal winding faults in power transformers
N Asadi, HM Kelk - IEEE transactions on power delivery, 2015 - ieeexplore.ieee.org
The winding interturn fault is critical in power transformers since its effect is not easily
comprehensible at lower magnitude in the signatures of terminal voltages and currents. This …
comprehensible at lower magnitude in the signatures of terminal voltages and currents. This …
[PDF][PDF] Artificial neural networks for power transformers fault diagnosis based on iec code using dissolved gas analysis
Transformer is the main important equipment in electrical power system. Early stage
detection of the transformer faults has great economic significance because it considered …
detection of the transformer faults has great economic significance because it considered …
A modified dissolved gas analysis technique as a diagnostic tool for faults in power transformers
Dissolved Gas Analysis (DGA) is one of the most common methods used to diagnosis the
fault types in the transformers. The fault types which occur in the power transformer are …
fault types in the transformers. The fault types which occur in the power transformer are …
[PDF][PDF] Early stage transformer fault detection based on expertise method
Power transformers are important equipments in electrical power systems. Transformer
failures are often due to the lack of the dielectric strength of oil insulation and will lead to a …
failures are often due to the lack of the dielectric strength of oil insulation and will lead to a …
Comparative study between dorneneburg and rogers methods for transformer fault diagnosis based on dissolved gas analysis using Matlab Simulink Tools
Dissolved Gas Analysis (DGA) is considered a popular method to diagnose different types of
faults occurring in power transformers due to different electrical and thermal stresses. These …
faults occurring in power transformers due to different electrical and thermal stresses. These …
Управление надежностью и техническим состоянием оборудования в задачах эксплуатации электрических сетей
ВМ Левин, ДВ Танфильева - 2023 - elibrary.ru
В работе рассмотрены методы анализа и синтеза моделей для оценки показателей
эксплуатационной надежности и технического состояния оборудования электрических …
эксплуатационной надежности и технического состояния оборудования электрических …