A multi-layer neural network approach to identification of mechanical damage in power transformer windings
Power transformers are among the most critical of assets for electric utilities, in the financial impact that their failure can bring. Asset Managers need to be able to determine the right time for replacement, refurbishment or relocation of these devices, with an increasing degree of confidence, in...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2009
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| Online Access: | http://hdl.handle.net/2429/5677 |