Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Transformer fault diagnosis in modern power systems using a genetic algorithm-optimized neural network and dissolved gas analysis
Saved in:
| Published in: | Discover Internet of Things |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Transformer fault diagnosis in modern power systems using a genetic algorithm-optimized neural network and dissolved gas analysis
- Accurate assessment technology of BIM bridge structure status using spatiotemporal transformation graph neural network
- Discovering the maximum k-clique on social networks using bat optimization algorithm
- Analysis of the effectiveness and optimization of promotion strategies for the international communication of intangible cultural heritage based on convolutional neural network and SVM
- Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networks
- Innovative teaching methods for digital media art based on convolutional neural network
- Communication network and source-grid-load-storage transient coupling modeling method for new power systems