Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sandra Pozzer"'
Autor:
Parham Nooralishahi, Gabriel Ramos, Sandra Pozzer, Clemente Ibarra-Castanedo, Fernando Lopez, Xavier P. V. Maldague
Publikováno v:
Drones, Vol 6, Iss 12, p 407 (2022)
The drone-based multi-modal inspection of industrial structures is a relatively new field of research gaining interest among companies. Multi-modal inspection can significantly enhance data analysis and provide a more accurate assessment of the compo
Externí odkaz:
https://doaj.org/article/a4c3d5f52efc43b3ab6cfafd7f4fc4e0
Autor:
Sandra Pozzer, Francisco Dalla Rosa, Zacarias Martin Chamberlain Pravia, Ehsan Rezazadeh Azar, Xavier Maldague
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4323 (2021)
One of the concerns about the use of passive Infrared Thermography (IRT) for structural health monitoring (SHM) is the determination of a favorable period to conduct the inspections. This paper investigates the use of numerical simulations to find ap
Externí odkaz:
https://doaj.org/article/fbb609b0aa154386a46fa85cf20b1dbf
Publikováno v:
Thermosense: Thermal Infrared Applications XLV.
Publikováno v:
Thermosense: Thermal Infrared Applications XLV.
Autor:
Sandra Pozzer, Francisco Dalla Rosa, Zacarias Martin Chamberlain Pravia, Fernando López, Xavier Maldague
Publikováno v:
Thermosense: Thermal Infrared Applications XLIV.
Autor:
Francisco Dalla Rosa, Sandra Pozzer, Ehsan Rezazadeh Azar, Zacarias Martin Chamberlain Pravia
Publikováno v:
Journal of Civil Structural Health Monitoring. 10:609-626
Infrared thermography has been successfully applied as a remote non-destructive testing approach for access to the internal conditions of reinforced concrete bridge slabs. Due to the different thermal properties of concrete and air or water present i
Autor:
Sandra Pozzer, Setayesh Hesam, Xavier Maldague, Reza Khoshkbary Rezayiye, Marcos Paulo Vieira de Souza, Bata Hena, Fernando Lopez
Publikováno v:
The 16th International Workshop on Advanced Infrared Technology & Applications.
This study investigates the semantic segmentation of common concrete defects when using different imaging modalities. One pre-trained Convolutional Neural Network (CNN) model was trained via transfer learning and tested to detect concrete defect indi
Autor:
Clemente Ibarra-Castanedo, Sandra Pozzer, Xavier Maldague, Fernando López, Parham Nooralishahi, Gabriel Ramos
Publikováno v:
Drones; Volume 6; Issue 12; Pages: 407
The drone-based multi-modal inspection of industrial structures is a relatively new field of research gaining interest among companies. Multi-modal inspection can significantly enhance data analysis and provide a more accurate assessment of the compo
Autor:
Sandra Pozzer, Marcos Paulo Vieira De Souza, Bata Hena, Setayesh Hesam, Reza Khoshkbary Rezayiye, Ehsan Rezazadeh Azar, Fernando Lopez, Xavier Maldague
Publikováno v:
NDT & E International. 132:102709
Autor:
Francisco Dalla Rosa, Sandra Pozzer, Xavier Maldague, Ehsan Rezazadeh Azar, Zacarias Martin Chamberlain Pravia
Publikováno v:
Applied Sciences, Vol 11, Iss 4323, p 4323 (2021)
Applied Sciences
Volume 11
Issue 10
Applied Sciences
Volume 11
Issue 10
One of the concerns about the use of passive Infrared Thermography (IRT) for structural health monitoring (SHM) is the determination of a favorable period to conduct the inspections. This paper investigates the use of numerical simulations to find ap