Paper Info
Title
System of Robotic Systems for Crack Predictive Maintenance
Abstract
In the built heritage, maintenance represents a not insignificant part of the costs of restoration and repair. Especially if this maintenance is carried out aperiodically. In this paper, we discuss a concept of System of Systems Engineering (SoSE), based on autonomous and collaborative robotization techniques. The latter is intended to detect, localise and repair microscopic cracks on flat wall surfaces. This was made possible by collaborating between several operational and managerial independent drones, one of which is intended to automatically detect cracks using the deep learning technique offered nowadays by Artificial Intelligence (AI). A second flying-manipulator robot, communicating and collaborative, manages to localise the cracks and deposit material continuously on the pruning shears of the crack. The whole concept works in a collaborative way and with an evolutionary development, in the presence of hazards and faults on one of the robotic system components. Experiments demonstrate the passage from the theory, in terms of architecture of the SoSE concept, as well as its robustness.
Year
DOI
Venue
2021
10.1109/SOSE52739.2021.9497490
2021 16th International Conference of System of Systems Engineering (SoSE)
Keywords
DocType
ISBN
crack predictive maintenance,built heritage,repair cost,system of systems engineering,microscopic crack detection,flat wall surfaces,managerial independent drones,deep learning,robotic system components,SoSE,deep learning,collaborative robotization,autonomous robotization,restoration cost,artificial intelligence,flying-manipulator robot,pruning shears,evolutionary development,operational independent drones
Conference
978-1-6654-4455-2
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Mouad Kahouadji100.34
othman lakhal263.20
Xinrui Yang300.34
Abdelkader Belarouci400.34
Rochdi Merzouki511725.83