A5068406187- Power Transformer Diagnostics and Insulation
- High voltage insulation and dielectric phenomena
- Non-Destructive Testing Techniques
- Magnetic Properties and Applications
- Vibration and Dynamic Analysis
- Fault Detection and Control Systems
- Electric and Hybrid Vehicle Technologies
- Mineral Processing and Grinding
- Energy Load and Power Forecasting
- Iron and Steelmaking Processes
- Smart Grid Energy Management
- Electricity Theft Detection Techniques
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
Swansea University
2022-2023
Ultrasonic detection, with its high sensitivity to partial discharge signals and precise localization capabilities, has become an essential tool for transformer condition monitoring fault diagnosis. Due the complexity of structures, particularly reflection, refraction, scattering phenomena ultrasound at media interfaces, propagation characteristics in multimedia remain insufficiently defined. In this study, a simulation model core windings was developed investigate ultrasonic paths within...
Power transformers are crucial components in power systems, widely used across various applications. The hotspot temperature of transformer oil winding is a key indicator the transformer’s heat dissipation efficiency. Predicting top accurately essential for effective monitoring operations. Traditionally, hotspots serve as reliable alert operational status. Utilizing principal component analysis (PCA) to reduce data correlation and employing long short-term memory (LSTM) neural networks...
In this paper, a feed-forward neural network model (NN) is constructed for time series dataset of dust particulate sintering plant. The goal the analysis to and forecast trend from different features that affect process, as accurate values at each point in may not be achievable. These are implemented external regressors used NN model. 'forecast' package R analysis. Good estimation forecasting observed both training validation datasets. Some found have big impact on reduction. study,...