A Novel Approach to Corona Monitoring

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.

Authors and Affiliations

1. Intelligent Automation, Inc., 15400 Calhoun Drive, Suite 400, Rockville, MD, 20855, USA

   Chiman Kwan, Tao Qian, Zhubing Ren, Hongda Chen & Roger Xu

2. Electrical Engineering Dept, University of Texas at Arlington, 416 Yates Street, Nedderman Hall, Rm 501, Arlington, TX, 76010, USA

   Weijen Lee & Hemiao Zhang

3. Arnold Air Force Base, Tennessee, TN, 37389-9013, USA

   Joseph Sheeley

Editors and Affiliations

1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

   Jun Wang

2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

   Xiao-Feng Liao

3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

   Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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