Transformer life prediction using data from units removed from service and thermal modelling
Understanding how and when transformers are likely to fail is of critical importance to the asset management of large networks. Ideally a reliable end-of-life model would be established based on years of previous experience over several lifecycles of equipment of a type representative of that still...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1713/ http://eprints.uthm.edu.my/1713/1/A2_212_2010_%2D_Final.pdf |
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