Pattern Recognition of Partial Discharge by Using Simplified Fuzzy ARTMAP
This paper presents the effectiveness of artificial
intelligent technique to apply for pattern recognition and
classification of Partial Discharge (PD). Characteristics of PD signal
for pattern recognition and classification are computed from the
relation of the voltage phase angle, the discharge magnitude and the
repeated existing of partial discharges by using statistical and fractal
methods. The simplified fuzzy ARTMAP (SFAM) is used for pattern
recognition and classification as artificial intelligent technique. PDs
quantities, 13 parameters from statistical method and fractal method
results, are inputted to Simplified Fuzzy ARTMAP to train system
for pattern recognition and classification. The results confirm the
effectiveness of purpose technique.
[1] F.H. Kreuger, "Partial Discharge Detection in High - Voltage
Equipment", Butterworth & Co. (Publishers) Ltd, 1989.
[2] E. Kuffel, W.S. Zaengl and J. Kuffel, "High Voltage Engineering:
Fundamentals". 2nd, Butterworth - Heinemann, 2000.
[3] B. Marungsri, N. Meeboom and A. Oonsivilai, "Dynamic Model
Identification of Induction Motors using Intelligent Search Techniques
with taking Core Loss into Account", WSEAS TRANSACTIONS on
POWER SYSTEMS, Vol. 1, No. 8, August 2006, pp. 1438 - 1445.
[4] A. Oonsivilai and B. Marungsri, "Optimal PID Tuning for AGC system
using Adaptive Tabu Search", Proceedings of the 7th WSEAS
International Conference on POWER SYSTEMS, Beijing, China,
September 2007, pp. 42-47.
[5] A. Oonsivilai and B. Marungsri, "Stability Enhancement for Multimachine
Power System by Optimal PID Tuning of Power System
Stabilizer using Particle Swarm Optimization", WSEAS
TRANSACTIONS on POWER SYSTEMS, Issue 5, Volume 3, May
2008, pp. 465 - 474.
[6] A. Oonsivilai and B. Marungsri, "Optimal PID Tuning for Power
System Stabilizers Using Adaptive Particle Swarm Optimization
Technique", INTERNATIONAL CONFERENCE ON POWER
CONTROL AND OPTIMIZATION: Innovation in Power Control for
Optimal Industry. AIP Conference Proceedings, Volume 1052, July
2008, pp. 116-123
[7] B. Marungsri and A. Oonsivilai, "Partial Discharges Localization in
Oil Insulating Transformer using Adaptive Tabu Search", Proceedings
of the 12th WSEAS International Conference on CIRCUITS,
Heraklion, Greece, July 22-24, 2008, pp. 290 - 295.
[8] B. Marungsri and A. Oonsivilai , "Fuzzy ARTMAP Technique for
Speech Noise Reduction," WSEAS International Conference on
Signal, Speech and Image Processing, Beijing, China, pp 20-25,
September 2007.
[9] E. Gulski, Computer - Aided Recognition of Partial Discharges using
Statistical Tools. Delft University Press,1991.
[10] N.A. Muhamad, B.T. Phung and T.R. Blackburn, "Dissolved Gas
Analysis (DGA) of Partial Discharge Fault in Bio-degradable
Transformer Insulation Oil", Universities Power Engineering
Conference 2007.AUPEC 2007, December 2007, pp 1-6.
[11] X. Wang, B. Li, H. T. Roman, O. L. Russo, K. Chin and K. R. Farmer,
"Acousto- optical PD Detection for Transformers", IEEE Transactions
on Power Delivery, Vol. 21, No. 3, July 2006, pp. 1068-1073.
[12] A. Oonsivilai and B. Marungsri, "Application of Artificial Intelligent
Technique for Partial Discharges in Oil Insulating Transformer",
WSEAS TRANSACTIONS on SYSTEMS, Vol.7 No.10, October 2008,
pp.920-929.
[13] Y. Lu, X. Tan and X. Hu, "PD detection and localization by acoustic
measurements in an oil-filled transformer", IEEE Science
Measurement and Technology, Vol.147, No.2, March 2000, pp. 81-85.
[14] K. Vicetjindavat, "Pattern Recognition of Partial discharge in High
Voltage Equipment", Master Degree Thesis, Chulalongkorn University,
2001.
[15] A. Wichmann, P. Gr├╝newald, and J. Weidner, "Early fault detection
inelectrical machines by on-line RF monitoring," Cigré Symp.,
Vienna,Austria, 1987, pp. 05-87.
[16] J. T. Phillipson, "Experience with RF techniques in the petrochemical
industry," Proc. 4th Int. Conf. Generator and Motor Partial Discharge
Testing, Houston, TX, 1996.
[17] M. D. Judd, L. Yang, and I. B. B. Hunter, "Partial discharge
monitoring for power transformers using UHF sensors. Part 1: Sensors
and signal interpretation," IEEE Electr. Insul. Mag., Vol. 21, No. 1,
Mar./Apr. 2005, pp. 5-14.
[18] S. Grossberg, "Adaptive pattern classification and universal recoding,
II: feedback, expectation,olfaction and illusions", Biological
Cybernetics, Vol. 23, 1976, pp. 187-202.
[19] G. A. Carpenter and S. Grossberg, "ART2: Self-organization of stable
category recognition codes for analog input patterns", Applied Optics,
vol. 26, No. 23, 1987, pp. 4919- 4930.
[20] G. A. Carpenter and S. Grossberg, "ART3: Hierarchical search using
chemical transmitters in self-organizing pattern recognition
architecture, Neural Networks, Vol.3, 1990, pp. 129-152.
[21] G. A. Carpenter, G. S. Grossberg and J. H.Reynolds, "ARTMAP:
Supervised real-time learning and classification of mon-stationary data
by a self-organizing neural network", Neural Networks, Vol. 4, 1991,
pp. 565-588.
[22] G. A. Carpenter, G. S. Grossberg and D. B. Rosen, "Fuzzy ART: Fast
stable learning and categorization of analog patterns by an adaptive
resonance system", Neural Networks, Vol. 4, 1991, pp. 759-771.
[23] G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D.
B. Rosen, "Fuzzy ARTMAP: A neural network architecture for
incremental supervised learning of analog multidimensional maps",
IEEE Trans. on Neural Networks, Vol.3, No. 5, 1992, pp. 698-713.
[24] T. Kasuba, "Simplified Fuzzy ARTMAP", AI Expert, Vol. 8, No. 11,
1993, pp.18-25.
[25] M. Vakil-Gahimisheh and N. Pave┼íić, "A Fast Simplified Fuzzy
ARTMAP Network", Neural Processing Letters, Vol. 17, 2003, pp.
273-316.
[1] F.H. Kreuger, "Partial Discharge Detection in High - Voltage
Equipment", Butterworth & Co. (Publishers) Ltd, 1989.
[2] E. Kuffel, W.S. Zaengl and J. Kuffel, "High Voltage Engineering:
Fundamentals". 2nd, Butterworth - Heinemann, 2000.
[3] B. Marungsri, N. Meeboom and A. Oonsivilai, "Dynamic Model
Identification of Induction Motors using Intelligent Search Techniques
with taking Core Loss into Account", WSEAS TRANSACTIONS on
POWER SYSTEMS, Vol. 1, No. 8, August 2006, pp. 1438 - 1445.
[4] A. Oonsivilai and B. Marungsri, "Optimal PID Tuning for AGC system
using Adaptive Tabu Search", Proceedings of the 7th WSEAS
International Conference on POWER SYSTEMS, Beijing, China,
September 2007, pp. 42-47.
[5] A. Oonsivilai and B. Marungsri, "Stability Enhancement for Multimachine
Power System by Optimal PID Tuning of Power System
Stabilizer using Particle Swarm Optimization", WSEAS
TRANSACTIONS on POWER SYSTEMS, Issue 5, Volume 3, May
2008, pp. 465 - 474.
[6] A. Oonsivilai and B. Marungsri, "Optimal PID Tuning for Power
System Stabilizers Using Adaptive Particle Swarm Optimization
Technique", INTERNATIONAL CONFERENCE ON POWER
CONTROL AND OPTIMIZATION: Innovation in Power Control for
Optimal Industry. AIP Conference Proceedings, Volume 1052, July
2008, pp. 116-123
[7] B. Marungsri and A. Oonsivilai, "Partial Discharges Localization in
Oil Insulating Transformer using Adaptive Tabu Search", Proceedings
of the 12th WSEAS International Conference on CIRCUITS,
Heraklion, Greece, July 22-24, 2008, pp. 290 - 295.
[8] B. Marungsri and A. Oonsivilai , "Fuzzy ARTMAP Technique for
Speech Noise Reduction," WSEAS International Conference on
Signal, Speech and Image Processing, Beijing, China, pp 20-25,
September 2007.
[9] E. Gulski, Computer - Aided Recognition of Partial Discharges using
Statistical Tools. Delft University Press,1991.
[10] N.A. Muhamad, B.T. Phung and T.R. Blackburn, "Dissolved Gas
Analysis (DGA) of Partial Discharge Fault in Bio-degradable
Transformer Insulation Oil", Universities Power Engineering
Conference 2007.AUPEC 2007, December 2007, pp 1-6.
[11] X. Wang, B. Li, H. T. Roman, O. L. Russo, K. Chin and K. R. Farmer,
"Acousto- optical PD Detection for Transformers", IEEE Transactions
on Power Delivery, Vol. 21, No. 3, July 2006, pp. 1068-1073.
[12] A. Oonsivilai and B. Marungsri, "Application of Artificial Intelligent
Technique for Partial Discharges in Oil Insulating Transformer",
WSEAS TRANSACTIONS on SYSTEMS, Vol.7 No.10, October 2008,
pp.920-929.
[13] Y. Lu, X. Tan and X. Hu, "PD detection and localization by acoustic
measurements in an oil-filled transformer", IEEE Science
Measurement and Technology, Vol.147, No.2, March 2000, pp. 81-85.
[14] K. Vicetjindavat, "Pattern Recognition of Partial discharge in High
Voltage Equipment", Master Degree Thesis, Chulalongkorn University,
2001.
[15] A. Wichmann, P. Gr├╝newald, and J. Weidner, "Early fault detection
inelectrical machines by on-line RF monitoring," Cigré Symp.,
Vienna,Austria, 1987, pp. 05-87.
[16] J. T. Phillipson, "Experience with RF techniques in the petrochemical
industry," Proc. 4th Int. Conf. Generator and Motor Partial Discharge
Testing, Houston, TX, 1996.
[17] M. D. Judd, L. Yang, and I. B. B. Hunter, "Partial discharge
monitoring for power transformers using UHF sensors. Part 1: Sensors
and signal interpretation," IEEE Electr. Insul. Mag., Vol. 21, No. 1,
Mar./Apr. 2005, pp. 5-14.
[18] S. Grossberg, "Adaptive pattern classification and universal recoding,
II: feedback, expectation,olfaction and illusions", Biological
Cybernetics, Vol. 23, 1976, pp. 187-202.
[19] G. A. Carpenter and S. Grossberg, "ART2: Self-organization of stable
category recognition codes for analog input patterns", Applied Optics,
vol. 26, No. 23, 1987, pp. 4919- 4930.
[20] G. A. Carpenter and S. Grossberg, "ART3: Hierarchical search using
chemical transmitters in self-organizing pattern recognition
architecture, Neural Networks, Vol.3, 1990, pp. 129-152.
[21] G. A. Carpenter, G. S. Grossberg and J. H.Reynolds, "ARTMAP:
Supervised real-time learning and classification of mon-stationary data
by a self-organizing neural network", Neural Networks, Vol. 4, 1991,
pp. 565-588.
[22] G. A. Carpenter, G. S. Grossberg and D. B. Rosen, "Fuzzy ART: Fast
stable learning and categorization of analog patterns by an adaptive
resonance system", Neural Networks, Vol. 4, 1991, pp. 759-771.
[23] G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D.
B. Rosen, "Fuzzy ARTMAP: A neural network architecture for
incremental supervised learning of analog multidimensional maps",
IEEE Trans. on Neural Networks, Vol.3, No. 5, 1992, pp. 698-713.
[24] T. Kasuba, "Simplified Fuzzy ARTMAP", AI Expert, Vol. 8, No. 11,
1993, pp.18-25.
[25] M. Vakil-Gahimisheh and N. Pave┼íić, "A Fast Simplified Fuzzy
ARTMAP Network", Neural Processing Letters, Vol. 17, 2003, pp.
273-316.
@article{"International Journal of Electrical, Electronic and Communication Sciences:63870", author = "S. Boonpoke and B. Marungsri", title = "Pattern Recognition of Partial Discharge by Using Simplified Fuzzy ARTMAP", abstract = "This paper presents the effectiveness of artificial
intelligent technique to apply for pattern recognition and
classification of Partial Discharge (PD). Characteristics of PD signal
for pattern recognition and classification are computed from the
relation of the voltage phase angle, the discharge magnitude and the
repeated existing of partial discharges by using statistical and fractal
methods. The simplified fuzzy ARTMAP (SFAM) is used for pattern
recognition and classification as artificial intelligent technique. PDs
quantities, 13 parameters from statistical method and fractal method
results, are inputted to Simplified Fuzzy ARTMAP to train system
for pattern recognition and classification. The results confirm the
effectiveness of purpose technique.", keywords = "Partial discharges, PD Pattern recognition, PDClassification, Artificial intelligent, Simplified Fuzzy ARTMAP", volume = "4", number = "5", pages = "881-8", }
