8 mars 2023 | International, Aérospatial, Autre défense
The service will allocate launch pads to ABL Space, Stoke Space, Phantom Space and Vaya Space.
30 juin 2024 | International, Terrestre
Sikorsky has received two Improved Turbine Engine Program engines and will begin integrating them into UH-60 Black Hawks in the coming months.
31 mai 2019 | International, Aérospatial
@AirbusDefence @EjercitoAire @FEINDEF_ #Digitalisation #FEINDEF The Research and Development (R&D) project significantly reduces maintenance burden and improves aircraft availability The technology is part of Airbus' commitment to develop its SmartForce digital services for military fleets Spanish Air Force is first to benefit from this Airbus technology as part of its roadmap for the use of digital-based services Madrid, 29 May 2019 – The Spanish Air Force has become the first air force worldwide to support the development of Airbus' drone and augmented reality-based maintenance inspection services, with the aim of drastically reducing maintenance inspections for large military aircraft and increasing overall fleet availability. This digital innovation technology will initially be trialled on Spanish Air Force A400M aircraft based at Zaragoza Air Base (31st Wing), with options to extend the technology to other aircraft, including the C295 and the CN235. General José Luis Pardo Jario, Head of the Spanish Chief of the Air Staff office, said: “This technology has the potential to make a major contribution to maintenance tasks for our fleet. Not only is it more time and cost efficient, above all it allows the upskilling of aircraft maintenance personnel, in accordance with the new digital era we all need to contribute towards in order to reap its benefits.” The technology relies on drones equipped with sensors and high-definition cameras to scan, in a matter of hours and not days, the exterior of an aircraft undergoing a maintenance inspection. A secured connection allows data and information generated to be displayed on tablets and augmented reality glasses, allowing staff to quickly identify and apply maintenance procedures and corrective actions while ensuring all inspection and maintenance procedures are formally and fully recorded on the maintenance log. Not only does this technology reduce the maintenance inspection time, it supports the early detection of defects and helps guarantee quality and post-maintenance airworthiness. José Antonio Urbano Torres, Military Aircraft R&D Chief Engineer, said: “Innovation and technological development are part of our DNA. Airbus invests considerable human and economic resources in the research and development of new processes, products and services to meet the current and future needs of our customers. We would like to thank the Spanish Air Force for its contribution and commitment to the development and maturity of this system, which is sure to revolutionise military aircraft maintenance.” The tests with the Spanish Air Force A400M will allow Airbus to use real user data, not only to consolidate the algorithms for safe autonomous flight of the drone around an aircraft thus avoiding the use of scaffolding and heavy mobile equipment that risks damaging the aircraft, but also to process the terabytes of images and data as a deep learning library that allows for the development of a robust Artificial Intelligence-based defects detection system. Through its SmartForce portfolio, Airbus is continuously developing new technologies and innovative services to help military customers assess, predict and anticipate the needs of their fleets by leveraging big data analytics coupled to secured connectivity to ensure the highest mission readiness. https://www.airbus.com/newsroom/press-releases/en/2019/05/airbus-and-spanish-air-force-to-develop-drone-and-augmented-reality-inspections-for-military-aircraft.html
6 août 2019 | International, C4ISR
By: Jen Judson WASHINGTON — A computational neuroscientist is studying whether a dragonfly's excellent hunting skills can be replicated in a missile's ability to maneuver and destroy targets midair with better precision. Dragonflies are vicious little creatures with a hit-to-kill track record of 95 percent, meaning only 5 percent of its prey escapes. Sandia National Laboratories' Frances Chance is building algorithms that simulate how a dragonfly processes information when intercepting prey, and she's testing them in a virtual environment. So far, the results are promising. The laboratories are federally funded and focus on national security missions through scientific and engineering research. The project is a yearlong, high-risk, high-gain effort that will wrap up in September, and it is funded by Sandia's Autonomy for Hypersonics Mission Campaign, Chance said. “I think what is really interesting about insects, in general, is they do something really fast and really well, but they are not particularly smart in the way you or I would think of ourselves as being smart,” Chance told Defense News in a recent interview. While insects may not be the right fit for studying cognitive capabilities to develop complex artificial intelligence, they are ideal for developing efficient computations for intercept capability. A dragonfly can react to a particular prey's maneuvers in 50 milliseconds, Chance explained. That amount of time accounts for information to cross three neurons in a dragonfly's brain. This indicates the dragonfly doesn't learn how to hunt, but rather the skill is inherent and part of its brain's hard-wiring. “The challenge then is: Is there anything that we can learn from how dragonflies do this that we can then bring to the next generation of missiles, or maybe even the next-next generation of missiles?” Chance said. By developing an artificial neural network that mimics a dragonfly's ability to hunt and then applying it to missile capabilities that rely on computation-heavy systems, one could reduce the size, weight and power needed for a missile's onboard computers; improve intercept techniques for targets such as hypersonic weapons; and home in on targets using simpler sensors. If the model of a dragonfly's neural circuit developed through Chance's research shows enough promise, she would then pass the information to scientists, who would try to directly apply it to weapons systems. One of the greatest leaps involves adapting an algorithm to handle the speed at which a missile flies. While a dragonfly is fast, it's not nearly as fast as a missile. Animal brains process information significantly slower than a computer, so it's possible computations can be sped up to better align with the speed at which a missile approaches targets. “The hope is that even if the algorithm isn't wildly successful, you might be able to say something about what you can get away with in terms of what types of capabilities you give the next generation of weapons,” Chance said. The model she's building is several steps removed from implementation onto a weapon. “I would consider the project complete when we have a viable model — ‘viable' meaning it does interception — and a bonus if it's neurobiologically plausible. There is no reason to force that for this type of research, but only because it doesn't necessarily matter; so something biologically inspired that works I would consider a success.” https://www.c4isrnet.com/land/2019/08/05/can-a-dragonfly-teach-a-missile-how-to-hunt/