TY  - JOUR 
AU  - Martínez Martínez, Víctor
AU  - Garcia Martin, Javier
AU  - Gómez Gil, Jaime
PY  - 2017
UR  - https://uvadoc.uva.es/handle/10324/57236
AB  - This article proposes a Radial Basis Function Artificial Neural Network (RBF-ANN) to classify tempered steel cams as correctly or incorrectly treated pieces by using multi-frequency nondestructive eddy current testing. Impedances at five frequencies...
LA  - eng
PB  - MDPI
KW  - Nondestructive testing
KW  - Eddy current
KW  - Tempering process
KW  - Radial basis function neural network
KW  - Multi-frequency
KW  - Analysis of variance
TI  - RBF-Neural network applied to the quality classification of tempered 100Cr6 steel cams by the multi-frequency nondestructive eddy current testing
DO  - 10.3390/met7100385
ER  -