Title :
Application of acoustic emission techniques and artificial neural networks to partial discharge classification
Author :
Tian, Y. ; Lewin, P.L. ; Davies, A.E. ; Sutton, S.J. ; Swingler, S.G.
Author_Institution :
High Voltage Lab., Southampton Univ., UK
Abstract :
Partial discharge (PD) detection, signal analysis and pattern identification, using acoustic emission measurements and the back-propagation (BP) artificial neural network (ANN) have been investigated. The measured signals were processed using three-dimensional patterns and short duration Fourier transforms (SDFT). Investigation indicates that using BP ANN with the SDFT components for classifying different PD patterns provides very good overall results
Keywords :
Fourier transforms; acoustic emission testing; backpropagation; insulation testing; neural nets; organic insulating materials; partial discharge measurement; polymers; power cable insulation; power cable testing; acoustic emission measurements; acoustic emission techniques; artificial neural networks; backpropagation; high voltage cables; partial discharge classification; pattern identification; polymeric insulation defects; signal analysis; Acoustic emission; Acoustic measurements; Acoustic signal detection; Artificial neural networks; Partial discharge measurement; Partial discharges; Pollution measurement; Signal analysis; Signal processing; Voltage;
Conference_Titel :
Electrical Insulation, 2002. Conference Record of the 2002 IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-7337-5
DOI :
10.1109/ELINSL.2002.995895
