Abstract
Corona discharge (CD) and partial discharge (PD) indicate early stages of insulation problems in motors. Early detection of CD/PD will enable better coordination and planning of resources such as maintenance personnel, ordering of parts, etc. Most importantly, one can prevent catastrophic failures during normal operations. In this paper, we summarize the application of Support Vector Machine (SVM) to CD/PD monitoring. Hardware testbeds have been developed to emulate CD/PD behaviors and real-time experimental results showed the effectiveness of SVM for fault detection and classification.
Research Supported by Air Force under Contract Number F40600-03-M-0008
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Kwan, C. et al. (2005). A Novel Approach to Corona Monitoring. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_80
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DOI: https://doi.org/10.1007/11427469_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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