19 octobre 2020 | International, Aérospatial, C4ISR

Thales launches small AESA radar for small aircraft

PARIS – Thales launched on Oct. 16 its new AirMaster C, a compact, active electronically scanned array (AESA), airborne surveillance radar for small and medium-sized platforms.

Although the radar's design phase has been finalized it still needs testing airborne. Nevertheless, Stéphane Lavigne, a sales director at Thales, said that the French Armed Forces Ministry had already notified its intention to buy the equipment for the future light joint army helicopter, the Guépard, developed by Airbus Helicopters and due to enter service in 2026.

Jon Bye, Thales' head of customer marketing, said that the AirMaster C would ensure customers got “that great picture, first time, every time.”

The active antenna radar is based on SiGe (silicon-germanium) technology fully validated in 2019. Thales says SiGe is “much more energy efficient than other technologies used for AESA radars, and allows the radar to self-cool.”

François Arpagaus, the company's airborne surveillance product line director, said that AirMaster C is easy to integrate, less complex to operate and would allow users to “see more, more of the time” thanks to “multi-polarization” which allows the radar to automatically select the optimal settings for each mission.

The radar was designed for a small footprint, making it 30 percent lower in size, weight and power than other radars in its class. It is small, no bigger than two A4 pages side by side, weighs less than 20 kg (45 lbs) and uses about 1 Kw of power. “It's perfect for small and medium-sized platforms, both manned and unmanned,” Arpagaus said.

Lavigne said the sensor had been designed with a lot of input from radar users. “The program is launched, we are ready to take orders,” he said, adding that typical delivery time from contract signing would happen within two years.

https://www.c4isrnet.com/c4isr/2020/10/16/thales-launches-small-aesa-radar-for-small-aircraft/

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  • Five F-35 issues have been downgraded, but they remain unsolved

    27 avril 2020 | International, Aérospatial

    Five F-35 issues have been downgraded, but they remain unsolved

    By: Aaron Mehta , Valerie Insinna , and David B. Larter WASHINGTON — The F-35 Joint Program Office has put in place stopgap fixes for five key technical flaws plaguing America's top-end fighter jet, but the problems have not been completely eliminated. Last June, Defense News reported exclusive details about 13 major technical issues, known as category 1 deficiencies, impacting the F-35. The JPO has since quietly downgraded five of those issues to the lesser category 2. A category 1 deficiency is defined as a shortfall that could cause death, severe injury or illness; could cause loss or damage to the aircraft or its equipment; critically restricts the operator's ability to be ready for combat; prevents the jet from performing well enough to accomplish primary or secondary missions; results in a work stoppage at the production line; or blocks mission-critical test points. In comparison, a category 2 deficiency is of lesser concern — something that requires monitoring, but not something that should impact operations. But downgrading the category doesn't mean the problems are solved, said Dan Grazier, who tracks military issues for the Project on Government Oversight. CAT 2 programs are still "definitely cause for concern. They are going to have an impact on how the aircraft performs,” Grazier said. "It really depends on what the issue is, but every design flaw has a potential issue on the mission. ... You want to not have flaws, you want these things can be fixed so pilots can get out and do what they need to do.” Aside from a few basic statements on which projects were downgraded to CAT 2, a JPO spokesperson said the office “cannot disclose any information about how these deficiencies were resolved or downgraded due to their security classification.” The ALIS sovereign data transfer solution does not meet information assurance requirements. The Autonomic Logistics Information System, or ALIS, provides the backbone of the F-35, used by the aircraft's operators in virtually all stages of flying and sustaining the Joint Strike Fighter. The system is used to plan and debrief missions, order spare parts, walk maintainers through repairs, and view technical data and work orders. (A potential replacement, named ODIN, is in the works.) But some international partners on the F-35 program have expressed concerns that data flowing through ALIS to the United States government — and to Lockheed Martin — could give both the U.S. military and the American defense contractor a window into that country's flight operations, including when and where its F-35s are flying. Those concerns were so high that two countries threatened to leave the program entirely if a fix was not quickly applied, according to the original documents viewed by Defense News. That fix is now in, according to the JPO, which said that on April 29, 2019, an update to ALIS included an initial version of a new Sovereign Data Management tool. “The SDM tool permits F-35 operators more control over the types of Prognostics and Health Management (PHM) data that are transferred to the F-35 Operations Center,” the JPO said. Incorrect inventory data for complex assemblies continues to result in grounding conditions. This particular deficiency involves supplies or components that, upon installation, are not actually listed and tracked in ALIS as designed. Those require specific, almost daily requests to software engineers to have data corrected in the system. While those requests can catch some problems, the issue is not always detected by the user. These “holes,” as the JPO calls them, do not collect data on how parts are used after installation, which means a part might be breaking down from heavy use. Yet, that part won't be flagged by ALIS as an at-risk piece. As a result, it's less likely that issues developing from wear and tear or a lack of replacement parts will be discovered until such an issue has become an acute problem, possibly leading to a grounding of the aircraft. The issue was downgraded to a CAT 2 deficiency on Jan. 13, 2020, “due to ALIS data quality improvements that have been made in the two years since this DR [deficiency report] was written,” according to the JPO. “The quality improvements have reduced the frequency and magnitude of issues that have impacted operational units' abilities to quickly release aircraft for flight following maintenance.” The F-35B and F-35C experienced incongruous lateral and longitudinal control response above a 20-degree angle of attack. One of the most eye-opening issues identified in the initial report was that the F-35B and F-35C models used by the Marine Corps and Navy become difficult to control when operating above a 20-degree angle of attack — which would be seen in the extreme maneuvers a pilot might use in a dogfight or while avoiding a missile. Pilots reported the aircraft experiencing unpredictable changes in pitch, as well as erratic yaw and rolling motions when coming in at that angle of attack.. “It has random oscillations, pitch and yaw issues above [its] 20-[degree angle of attack]," a longtime naval aviator told Defense News last year. "[So] if I had to perform the aircraft — if I had to maneuver to defeat a missile, maneuver to fight another aircraft, the plane could have issues moving. And if I turn around aggressively and get away from these guys and use the afterburner, [the horizontal tail and tail boom] start to melt or have issues.” The issue was important enough that it accounted for two CAT 1 issues, one each for the two variants impacted by the design issue. However, the JPO downgraded this issue to a CAT 2 on May 28, 2019, for the F-35C and on July 8, 2019, for the F-35B. The solution involves “improvements in flying qualities that were implemented in software. The improvements provide pilots with an intuitive reference indication for AOA [angle of attack], which allows pilots to more quickly optimize lateral maneuvering during air-to-air maneuvering. These software improvements have been released to all F-35 operators.” There were unanticipated thrust limits in jetborne flight on hot days. This particular issue only occurred once, but was so significant that it was identified in the original document as the “No. 1 priority” for the Marine Corps. The issue was identified aboard the amphibious assault ship Essex, where a Marine pilot performed what is known as a “mode four” operation. That is where the jet enters hover mode near a landing spot, slides over to a target area and then vertically lands onto the ship. It's a key capability for the "B" model, which was designed for its short-takeoff-and-vertical-landing abilities. The engine — working hard on a day that temperatures cracked 90 degrees Fahrenheit while trying to lift a plane that was heavier than most returning to base — wouldn't generate the needed thrust for a safe, ideal landing. The pilot managed to land, but the issue set off alarm bells in the Marine aviation community. The JPO initially expected a fix for this issue to be out sometime in 2019, but it wasn't until March 2020 that a mix of nondescript “software updates and procedural adjustments” brought the “propulsion system performance back to original specified performance levels.” https://www.defensenews.com/smr/hidden-troubles-f35/2020/04/24/five-f-35-issues-have-been-downgraded-but-they-remain-unsolved/

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  • The US Air Force Is Adding Algorithms to Predict When Planes Will Break

    16 mai 2018 | International, Aérospatial

    The US Air Force Is Adding Algorithms to Predict When Planes Will Break

    The airlines already use predictive maintenance technology. Now the service's materiel chief says it's a “must-do for us.” The U.S. Air Force has started to use algorithms to predict when its aircraft will break, part of an effort to minimize the time and money they consume in the repair shop. The use of predictive analytics has been blazed by airlines, which monitor their fleets' parts in an effort to replace broken components just before — and crucially, not after — they break. “I believe it is a must-do for us,” said Gen. Ellen Pawlikowski, the head of Air Force Materiel Command, the arm of the Air Force that oversees the maintenance of its planes. She spoke Tuesday at a Defense Writers Group breakfast in Washington. “We see this as a huge benefit.” If the Air Force could reduce the risk of unexpected breakage — and the attendant need to fly replacement parts and repair crews around the globe — it could reduce costs and boost mission effectiveness. It could also increase the usefulness of the current fleet by reducing the number of aircraft that need to be be held in reserve as backups. It starts with gathering data, such as the temperature of engine parts or the stresses on the airframe. “We are trying to leverage what we already get off of airplanes, as opposed to trying to go in and put instruments in places,” Pawlikowski said. “It turns out there's quite a bit that's there, but it may not be a direct measurement. In order to measure the temperature in this one particular spot, I'm getting information somewhere else.” Artificial intelligence and machine learning can then determine patterns. The general said the Air Force has been learning a lot from Delta, the world's second-largest commercial airline. “Delta has demonstrated the effectiveness of predictive maintenance in dramatically reducing the number of delays to flights due to maintenance,” she said. Over the past three years, Air Mobility Command — the arm of the Air Force that oversees all of its large cargo planes and aerial refueling tankers — has been organizing the data it collects on some of its planes. It has started using the predictive maintenance technology on its massive C-5 airlifters. The Air Force is also using the technology on the B-1 bomber. “The B-1 is an airplane that we actually bought with a whole bunch of data that we weren't using,” Pawlikowski said. “We started to take that data in and start to analyze it....We're very excited about this because we see huge potential to improve aircraft availability and drive down the cost.” She said she “was impressed when I saw some of the data that they were showing me.” The Air Force Lifecycle Management Center, which reports to Pawlikowski, has been funding these trials “by finding the loose change in the seat cushions,” she said. “As we have now shown some things ... we're seeing more and more interest in it and we're looking at increasing the investment in that to bring it further,” Pawlikowski said of the predictive maintenance. Last September, Gen. Carlton “Dewey” Everhart, head of Air Mobility Command, stressed his desire to use predictive maintenance, but warned it would cost money to get the datafrom the companies that make the planes. “In some cases, we'll be working this collaboratively with our industry partners,” Pawlikowski said Tuesday. “In other cases, we'll be doing it completely organically.” Air Mobility Command is also using predictive maintenance technology on the C-130J airlifter. The latest version of the venerable Lockheed Martin cargo plane — the J model — collects reams of data as it flies. In April, the Lockheed announced it was teaming with analytics firm SAS to crunch that data. “Everything we've been doing up to a certain point has been looking in the rear-view mirror with the data,” said Lockheed's Duane Szalwinski, a senior manager with his company's sustainment organization who specializes in analytics. “We're going to be able to look forward.” Lockheed is working on a six-month demonstration for Air Mobility Command; officials hope to be able to predict when certain parts will break before a flight. “If we're able to do that, it kind of changes the game in how you maintain and operate a fleet,” Szalwinski said. The data will give military planners a wealth of information about their aircraft that could help determine the best aircraft to deploy. “All those things you now know you have insights as to what you will need at the next flight, so you act accordingly,” he said. “Once we prove that we understand the probability of failure of these parts ... all things then become possible,” Szalwinski said. “Now it's not a matter of if, it's a matter of when. And if you know when, you can start acting accordingly. It would be a gamechanger in the way you manage a fleet.” Lockheed also wants to use the predictive maintenance tech on the F-35 Joint Strike Fighter. “The beauty of this is that the toolsets that we're developing, the models, how we clean the data, how we build the models, how we build the algorithms, all of that is not unique to a platform,” Szalwinski said. Still, instituting predictive maintenance practices fleet-wide is not going to happen overnight, particularly as since it will take time to understand the data, Pawlikowski said. Using this technology will require a cultural shift among maintenance crews because they'll be replacing parts before they actually fail, Pawlikowski said. “One of the big benefits is the reduction in the amount of time the airmen on the flightline spends troubleshooting a broken part” because “we will take them off before they break,” she said. https://www.defenseone.com/business/2018/05/us-air-force-adding-algorithms-predict-when-planes-will-break/148234/

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