Real-time Condition Monitoring and Asset Management of Oil- Immersed Power Transformers
This research pioneers a comprehensive asset management methodology utilizing solely online dissolved gas analysis. Integrating advanced AI algorithms, the model was trained and rigorously tested on real-world data, demonstrating its efficacy in optimizing asset performance and reliability.
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2024
|
| Online Access: | http://hdl.handle.net/20.500.11937/95487 |