A5004315695- Power Transformer Diagnostics and Insulation
- Non-Destructive Testing Techniques
- Metallurgical Processes and Thermodynamics
- Advanced Computational Techniques and Applications
- Characterization and Applications of Magnetic Nanoparticles
- Microfluidic and Bio-sensing Technologies
- Sensor Technology and Measurement Systems
- Machine Fault Diagnosis Techniques
- Advanced Decision-Making Techniques
- Lanthanide and Transition Metal Complexes
- Neural Networks and Applications
- Smart Grid and Power Systems
- Advanced materials and composites
- Metal-Organic Frameworks: Synthesis and Applications
- Geomagnetism and Paleomagnetism Studies
- Fault Detection and Control Systems
- Magnetism in coordination complexes
- Land Use and Ecosystem Services
- Magnetic Field Sensors Techniques
- Electricity Theft Detection Techniques
- Water Resources and Sustainability
- Energy Load and Power Forecasting
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Environmental Quality and Pollution
North China Electric Power University
2023-2024
China Electric Power Research Institute
2023-2024
Xidian University
2023-2024
University of Arizona
2014
Abstract The safe operation of oil‐immersed transformers is critical to the safety and stability power grid. As operating time increases, failure rate shows an increasing trend, posing serious challenges operation. It necessary investigate internal state transformer improve digital degree achieve digitalisation intelligent maintenance. A physics‐informed neural network (PINN) for was introduced reconstruct temperature distribution inside transformer. According approach, loss function would...
Magnetic particle imaging (MPI) is a tracer-based modality known for its high sensitivity and temporal resolution. It makes the quantitative visualization of concentration spatial location magnetic nanoparticles (MNPs) possible. The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$x$ </tex-math></inline-formula> -space method widely used in MPI high-speed image reconstruction. In this method, received...
In order to predict the temperature rise curve of power transformer groups and achieve fault warning. Build a training prediction set by measuring load top oil transformer. The GRU time series model with improved attention mechanism is constructed realize intelligent temperature. performance different algorithms was compared on same test set. research results show that average absolute error, root mean square difference, percentage error under are best algorithm, which indicates has high...
The power transformer is the core equipment of system, a sudden failure which will seriously endanger safety system. In recent years, artificial intelligence techniques have been applied to dissolved gas analysis evaluation transformers improve accuracy and efficiency fault diagnosis. However, most are data-driven algorithms whose performance decreases when data limited or significantly imbalanced. this paper, we propose an active learning framework for analysis, in model can be dynamically...
Single-sided Magnetic Particle Imaging (MPI) devices enable easy imaging of areas outside the MPI device, allowing objects any size to be imaged and improving clinical applicability. However, current single-sided face challenges in generating high-gradient selection fields experience a decrease gradient strength with increasing detection depth, which limits depth resolution. We introduce novel spatial encoding method. This method combines high-frequency alternating excitation variable offset...