Identification of Partial Discharge Patterns in Switchgear Based on Logistic Model Tree
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This research aims to introduce an effective approach in classifying different defects generating partial discharge (PD) in switchgear. The attribute selection of transient earth voltage signal is discussed to obtain the best identification markers. The development of classifier system based on logistic model tree is presented. Finally, the approach is made comparison with several common classifier algorithms and demonstrates its high accuracy in the identification
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Lundgaard, L. E, Partial discharge. XIV. Acoustic partial discharge detection-practical application, Electrical Insulation Magazine, IEEE, vol.8 n.5, 1992, pp.34-43.
Dong-Jin Kweon, Sang-Bum Chin, Hee-Ro Kwak, et al, The analysis of ultrasonic signals by partial discharge and noise from the transformer, IEEE Transactions on Power Delivery, vol.20 n.3, 2005, pp.1976-1983.
Judd, M. D, Yang Li, Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretation, Electrical Insulation Magazine, IEEE, vol.21 n.2, 2005, pp.5-14.
Junhua Liu, Chengjun Huang, Yong Qian, et al, Analysis on Partial Discharge Localization Using UHF Combined with Acoustic Method in GIS, (2010) International Review of Electrical Engineering (IREE), 5 (3), pp.1266-1270.
Brown P, Nonintrusive partial discharge measurements on high voltage switchgear, IEE Colloquium on Monitors and Condition Assessment Equipment (Digest No. 1996/186), 1996, pp. 10/1-10/5.
Sahoo, N. C, Salama, M. M. A, Bartnikas, R, Trends in partial discharge pattern classification: a survey, IEEE Transactions on Dielectrics and Electrical Insulation, vol.12 n.2, 2005, pp.248-264.
Linpeng Yao, Hui Wang, Yong Qian, et al, Pattern Recognition for Partial Discharge Based on Tri-Training Semi-Supervised Learning, (2010) International Review of Electrical Engineering (IREE), 5 (6), pp. 2673-2678.
Wen-Yeau Chang, Application of Fuzzy C-Means Clustering Approach and Genetic Algorithm to Partial Discharge Pattern Recognition, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4328-4342.
Cachin, C, Wiesmann, H. J, PD recognition with knowledge-based preprocessing and neural networks, IEEE Transactions on Dielectrics and Electrical Insulation, vol.2 n.3, 1995, pp. 578-589.
Salama, M. M. A, Bartnikas, R, Determination of neural-network topology for partial discharge pulse pattern recognition, IEEE Transactions on Neural Networks, vol.13 n.2,2002, pp.446-456.
Abdel-Galil, T. K, Sharkawy, R. M, Salama, M. M. A, Bartnikas, R, Partial discharge pattern classification using the fuzzy decision tree approach, IEEE Transactions on Instrumentation and Measurement, vol.54 n.6, 2005, pp.2258-2263.
Contin, A, Tessarolo, A, Identification of Defects Generating PD in AC Rotating Machines by Means of Fuzzy-Tools, Conference Record of the 2008 IEEE International Symposium on Electrical Insulation, 2008, pp.558-562.
Chen X, Cavallini, A, Statistical analysis and fuzzy logic identification of partial discharge in paper-oil insulation system, IEEE 9th International Conference on the Properties and Applications of Dielectric Materials, 2009, pp.505-508.
Niels Landwehr, Mark Hall, Eibe Frank, Logistic Model Trees, Machine Learning, vol.59 n.1,2005,pp.161-205.
Ross Quinlan, C4.5: Programs for Machine Learning (Morgan Kaufmann Publishers, 1993).
Jerome Friedman, Trevor Hastie, Robert Tibshirani, Additive logistic regression: a statistical view of boosting, The annals of statistics, vol.28 n.2, 2000, pp. 337-407.
Breiman, L, Classification and regression trees (Chapman & Hall/CRC Publisher, 1984).
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