1. A Hybrid Support Vector Fuzzy Inference System for the Classification of Leakage Current Waveforms Portraying Discharges.
- Author
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Theofilatos, Konstantinos, Pylarinos, Dionisios, Likothanassis, Spiros, Melidis, Damianos, Siderakis, Kiriakos, Thalassinakis, Emmanuel, and Mavroudi, Seferina
- Subjects
STRAY currents ,ELECTRIC discharges ,SUPPORT vector machines ,FUZZY systems ,HYBRID systems ,HIGH voltages ,ELECTRIC insulators & insulation ,GENETIC algorithms - Abstract
Several techniques have been applied on leakage current waveforms in order to extract information regarding electrical activity on high-voltage insulators. However, a fully representative value is yet to be defined. In this article, a hybrid support vector fuzzy inference system is introduced as a classification tool. The system incorporates fuzzy logic, genetic algorithms, and support vector machines. Apart from the classification accuracy achieved, the system also produces a set of fuzzy rules under which the classification is made, allowing a further insight of the process. A comparison is made to other classification tools previously applied on the same data set. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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