Antonio Alves de Carvalho

MFL signals and artificial neural networks applied to detection and classification of pipe weld defects

Antonio Alves de Carvalho, J.M.A. Rebello, Luís Volnei Sudati Sagrilo et al. · NDT & E International · 2006 · 151 citations

Mfl Signals, Engineering, Machine Learning +13

Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry

Antonio Alves de Carvalho, J.M.A. Rebello, Marcos Paulo Vieira de Souza et al. · International Journal of Pressure Vessels and Piping · 2008 · 117 citations

Reliability, Reliability Engineering, Engineering +15

The use of artificial neural network in the classification of pulse-echo and TOFD ultra-sonic signals

J. L. B. C. Veiga, Antonio Alves de Carvalho, I. C. da Silva et al. · Journal of the Brazilian Society of Mechanical Sciences and Engineering · 2005 · 42 citations · Full text

Aeroacoustics, Engineering, Weld Beads +16

On the reliability of an automated ultrasonic system for hull inspection in ship-based oil production units

Antonio Alves de Carvalho, Luís Volnei Sudati Sagrilo, I.C. Silva et al. · Applied Ocean Research · 2003 · 28 citations

Naval Architecture, Ultrasonic System, Reliability Engineering +11

Evaluation of the relevant features of welding defects in radiographic inspection

Antonio Alves de Carvalho, Raphael Carlos de Sá Brito Suita, Romeu Ricardo da Silva et al. · Materials Research · 2003 · 19 citations · Full text

Engineering, Feature Detection, Neural Network +21