A Hybrid Support Vector Fuzzy Inference System for the Classification of Leakage Current Waveforms Portraying Discharges

作者：Theofilatos Konstantinos; Pylarinos Dionisios; Likothanassis Spiros; Melidis Damianos; Siderakis Kiriakos; Thalassinakis Emmanuel; Mavroudi Seferina

来源：Electric Power Components and Systems, 2014, 42(2): 180-189.

DOI：10.1080/15325008.2013.853217

• leakage current
• insulators
• field
• discharges
• feature selection
• classification
• fuzzy logic
• genetic algorithms
• support vector machines

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.

• 出版日期2014-1-25