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
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| Online Access: | http://hdl.handle.net/20.500.11937/95487 |
| _version_ | 1848766017086423040 |
|---|---|
| author | Jin, Lan Maggie |
| author_facet | Jin, Lan Maggie |
| author_sort | Jin, Lan Maggie |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:44:27Z |
| format | Thesis |
| id | curtin-20.500.11937-95487 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:44:27Z |
| publishDate | 2024 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-954872024-07-09T02:36:15Z Real-time Condition Monitoring and Asset Management of Oil- Immersed Power Transformers Jin, Lan Maggie 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. 2024 Thesis http://hdl.handle.net/20.500.11937/95487 Curtin University fulltext |
| spellingShingle | Jin, Lan Maggie Real-time Condition Monitoring and Asset Management of Oil- Immersed Power Transformers |
| title | Real-time Condition Monitoring and Asset Management of Oil-
Immersed Power Transformers |
| title_full | Real-time Condition Monitoring and Asset Management of Oil-
Immersed Power Transformers |
| title_fullStr | Real-time Condition Monitoring and Asset Management of Oil-
Immersed Power Transformers |
| title_full_unstemmed | Real-time Condition Monitoring and Asset Management of Oil-
Immersed Power Transformers |
| title_short | Real-time Condition Monitoring and Asset Management of Oil-
Immersed Power Transformers |
| title_sort | real-time condition monitoring and asset management of oil-
immersed power transformers |
| url | http://hdl.handle.net/20.500.11937/95487 |