Recognition of partial discharges using an Ensemble of Neural Networks

Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP

Volumn , Issue , 2011, Pages 497-500

  Mas'Ud, A Abubakar ^a   Stewart, B G ^a   McMeekin, S G ^a   Nesbitt, A ^a  

^a GLASGOW CALEDONIAN UNIVERSITY   (United Kingdom)

Author keywords

Classification; Neural Networks (NN); Partial discharge (PD)

Indexed keywords

ENSEMBLE NEURAL NETWORK; NEURAL NETWORK MODEL; PD MEASUREMENTS; PD PATTERN; POWER CYCLE; RECOGNITION ABILITIES; RECOGNITION EFFICIENCY; STATISTICAL PARAMETERS; TRAINING DATA; VOID DEFECTS; VOID GEOMETRY; VOID SIZE;

CLASSIFICATION (OF INFORMATION); ETHYLENE; FORECASTING; NEURAL NETWORKS;

PARTIAL DISCHARGES;

EID: 84864661776     PISSN: 00849162     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEIDP.2011.6232703     Document Type: Conference Paper

References (6)

1. T. Hong and M. Fang, "Detection and Classification of Partial Discharge Using a Feature Decomposition-Based Modular Neural Network", IEEE Transactions on Instrumentation and Measurement, vol. 50, no. 5, pp. 1349-1354, October 2001.
2. th International Conference on Dielectric Materials, Measurement and Applications, Manchester, pp. 37-40, 1992.
3. P. Morshuis, "Partial Discharge Mechanisms in Voids Related to Dielectric Degradation", IEE Proceedings in Science, Measurement and Technology, vol. 142, no. 1, pp. 744-760, January 1995.
4. th International Universities Power Engineering Conference, Cardiff, September 2010.
5. E. Gulski and A. Krivda, "Neural Network as a Tool for Recognition of Partial Discharges," IEEE Transaction on Electrical Insulation, vol. 28, no. 6 pp. 984-1001, December 1993.
6. P. Cunningham, J. Carna and S. Jacob," Stability Problems with the Artificial Neural Networks and the Ensemble Solution," Artificial Intelligence in Medicine, vol. 20, no. 3, pp. 217-225, November 2000.