AEROSPACE APPLICATIONS OF INTERVALS: FROM GEOSPATIAL DATA PROCESSING TO FAULT DETECTION IN AEROSPACE STRUCTURES

Aerospace Applications of Intervals: From Geospatial Data Processing to Fault Detection in Aerospace Structures

A comparison of data-driven fault detection methods with application to aerospace electro-mechanical actuators

In this paper, a model-free framework is proposed in order to equip electromechanical actuators, deployed in aerospace applications, with health-monitoring capabilities. A large experimental activity has been carried out to perform acquisitions with both healthy and faulty components, taking into consideration the standard regulations for environmental testing of avionics hardware. The injected...

News from the Aerospace Applications TCU

During the last couple of months a variety of network activities and events took place. Most importantly, the First International Summer School on AI Planning was held. Both lecturers and participants reported that they not only learned a lot but also really enjoyed what can actually be called a very successful event. Congratulations to Maria Fox, Alfonso Gerevini, and Yannis Dimopoulos, who or...

Applications of ultrasonic NDT to aerospace composites

Whilst existing composite aircraft designs carry additional weight to mitigate the risk of undetected nonconformance to design, new non-destructive characterisation (NDC) methods offer a leaner future for composite designs through complete verification of conformance. The structural-integrity philosophy for composites in current in-service aircraft does not directly accommodate any benefit from...

New Processing of Composite Grids for Aerospace Applications

Composite materials exhibit their highest stiffness and strength in unidirectional format. Any deviation from this lead to lower fiber volume fractions, and lower properties. Composites grids can be exceptionally stiff and strong if their ribs are umdircct.üii|ü. Several approaches have been published in recent years. Modeling of mull.c„cct.onal grids is simple because it follows the assumption...