DocumentCode :
2767470
Title :
Diagnostic by means of neural networks having inputs derived from the statistical analysis of PD patterns [of polymer film insulation]
Author :
Bozzo, Riccardo ; Gemme, C. ; Guastavino, F.
Author_Institution :
Dept. of Electr. Eng., Genoa Univ.
Volume :
1
fYear :
1996
fDate :
16-19 Jun 1996
Firstpage :
389
Abstract :
The authors describe how a suitable neural network can be used in measurement systems able to classify different polymeric insulation films on the basis of quantities derived from partial discharges patterns
Keywords :
automatic test equipment; automatic testing; data acquisition; electric breakdown; insulation testing; neural nets; partial discharges; polymer films; statistical analysis; PD; insulation diagnosis; neural networks; partial discharge patterns; polymer film insulation; statistical analysis; statistical data processing; test automation; Degradation; Electric variables measurement; Frequency; Histograms; Neural networks; Partial discharges; Polymer films; Statistical analysis; System testing; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation, 1996., Conference Record of the 1996 IEEE International Symposium on
Conference_Location :
Montreal, Que.
ISSN :
1089-084X
Print_ISBN :
0-7803-3531-7
Type :
conf
DOI :
10.1109/ELINSL.1996.549363
Filename :
549363
Link To Document :
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