DocumentCode
2243594
Title
Neural identification of failed fuel rods in nuclear reactors [PWRs]
Author
Seixas, J.M. ; Soares-Filho, W. ; Bossan, M.C. ; Thome, Z.D. ; Pereira, WC A.
Author_Institution
COPPE, Univ. Fed. do Rio de Janeiro, Brazil
Volume
1
fYear
2000
fDate
2000
Firstpage
160
Abstract
Ultrasonic pulses were used for automatic detection of failed nuclear fuel rods. The detection is based on processing the received echoes of the emitted ultrasonic pulses by means of a neural network, which achieves an efficiency of 98% and outperforms classical discriminating methods. Additional studies on the correlation of the neural and the best nonneural discriminating methods evaluate whether a hybrid detection approach could improve the overall performance of the system
Keywords
fission reactor monitoring; fission reactor safety; neural nets; nuclear engineering computing; ultrasonic materials testing; automatic detection; failed fuel rods; hybrid detection approach; neural identification; nonneural discriminating methods; nuclear reactors; received echoes; ultrasonic pulses; Assembly; Inductors; Inspection; Neural networks; Nuclear fuels; Pulse generation; Safety; Structural rods; Testing; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.857052
Filename
857052
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