Support vector machine-based fault diagnosis of power transformer using k nearest-neighbor imputed DGA dataset
Missing values are prevalent in real-world datasets and they may reduce predictive performance of a learning algorithm. Dissolved Gas Analysis (DGA), one of the most deployable methods for detecting and predicting incipient faults in power transformers is one of the casualties. Thus, this paper prop...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Scientific Research Publishing Inc.
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59959/ http://dx.doi.org/10.4236/jcc.2014.29004 |
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| Institution: | Universiti Teknologi Malaysia |