Ponente
Pablo Martinez Ruiz Del Arbol
(IFCA (UNICAN-CSIC))
Descripción
Muography is emerging as an effective Non-Destructive Testing technique in the last years. Due to the high penetration power of cosmic muons and its natural and inexpensive origin, several companies are considering to apply it to the preventive maintenance of industrial equipment such as pipes and cauldrons. This contribution reviews the construction of a fully operative gas-based muon detector system and the development of algorithms including state-of-the-art machine learning techniques applied to the measurement of the degradation of the inner walls of an insulated pipe.
Autor primario
Pablo Martinez Ruiz Del Arbol
(IFCA (UNICAN-CSIC))
Coautores
Aitor Orio
(Muon Systems)
Carlos Díez
(Muon Systems)
Pablo Gómez García
(Muon Systems)
