Support Vector Machine Based Fault Diagnosis Of Power Transformer Using k Nearest Neighbor Imputed DGA Dataset

• Main Authors: Zahriah, Sahri, Rubiyah, Yusof
• Format: Article
• Language: English
• Published: Scientific Research 2014
• Subjects: T Technology (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/16936/2/JCC_2014071111091466.pdf; http://eprints.utem.edu.my/id/eprint/16936/; http://www.scirp.org/journal/PaperInformation.aspx?PaperID=47715; http://dx.doi.org/10.4236/jcc.2014.29004
• Institution: Universiti Teknikal Malaysia Melaka

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...