Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques
Power transformers are one of the most important elements of electrical power systems. The fast diagnosis of transformer faults improves the efficiency of power systems.
Sahar R. Al-Sakini +3 more
doaj +1 more source
True Parallel Graph Transformations: an Algebraic Approach Based on Weak Spans
We address the problem of defining graph transformations by the simultaneous application of direct transformations even when these cannot be applied independently of each other.
de la Tour, Thierry Boy, Echahed, Rachid
core
Enhancement of power transformer state of health diagnostics based on fuzzy logic system of DGA [PDF]
Aburaghiega, Ehnaish +3 more
core +1 more source
Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors. [PDF]
Ward SA +6 more
europepmc +1 more source
News coverage and online advertising effects on patient-led search for aspirin, heart health, and stroke information and educational tool use. [PDF]
Southwell BG +7 more
europepmc +1 more source
Probabilistic Prognostics and Health Management of Power Transformers Using Dissolved Gas Analysis Sensor Data and Duval's Polygons. [PDF]
Kashiwagi FN +4 more
europepmc +1 more source
Large-scale automated measurement and genetic parameters analysis of early-life myofiber characteristics in broilers. [PDF]
Yang Y +6 more
europepmc +1 more source
A Kinematic Data-Driven Approach to Differentiate Involuntary Choreic Movements in Individuals With Neurological Conditions. [PDF]
Liu Y +4 more
europepmc +1 more source
Analysis of social determinants of health and extreme climate events: Identifying vulnerable populations and health outcomes in Jacksonville. [PDF]
Ren Y +7 more
europepmc +1 more source
Neural networks and particle swarm for transformer oil diagnosis by dissolved gas analysis. [PDF]
Guerbas F +8 more
europepmc +1 more source

