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  September 26, 2018 | International, Aerospace

  US Air Force turns to data analytics to solve B-1, C-5 maintenance challenges

  By: Valerie Insinna WASHINGTON — The U.S. Air Force is making changes to the way it sustains the B-1B Lancer bomber and C-5 Super Galaxy cargo plane, moving to a maintenance approach that will allow it to use data analytics to predict problems, the acting head of Air Force Materiel Command said. Both the B-1 and C-5 fleets transitioned to a conditions-based maintenance model last month, Lt. Gen. Robert McMurry, commander of the Air Force Life Cycle Management Center, told Defense News in a Sept. 18 interview. “Given the aging fleet situation that we have, we probably need to be using data better to take care of it — which is a drive toward what most everyone right now is saying is the right way to manage fleet sustainment, which is through condition-based maintenance and data analytics,” he said. “So we're trying to bring that on.” The approach — which involves using algorithms to predict the need for repairs rather than waiting for a part to break — is a standard practice in the commercial airline industry to help reduce maintenance-related delays or cancellations, but has been less common in the Air Force. AFMC determined it needed to make a greater push toward conditions-based maintenance as a result of servicewide reviews triggered by rising concerns about the number of aviation-related mishaps. The first review, directed by Air Force Chief of Staff Gen. Dave Goldfein, involved a one-day standdown that would give flying and maintenance units a chance to communicate potential safety concerns up the chain of command. Gen. Ellen Pawlikowski, then the head of AFMC, also directed the organizations under her command, like the Air Force Sustaiment Center, to evaluate its own data. The reviews have since concluded, with the Air Force finding “two systems ... where high risk was accepted,” said McMurry, noting that “operational security does not allow us to identify them.” “Our process is dealing with those responsibly,” he added. The B-1 and C-5 were chosen as pilot programs for the conditions-based maintenance approach because they are sustained by airmen and have older, relatively small inventories, making for a more manageable data set. But the planes have something else in common — a recent history of well-publicized mishaps. The C-5 has sustained a number of nose landing gear malfunctions that led to a standdown and maintenance assessment in 2017. But despite a fix being put in place, there have still been problems with the gear, such as a March 2018 event where one C-5 landed on its nose at Joint Base San Antonio-Lackland, Texas. Meanwhile, the B-1 fleet was temporarily grounded in June after a safety investigation board found problems with ejection seat components while investigating a May 1 emergency landingwhere the ejection seats did not deploy. Full article: https://www.defensenews.com/digital-show-dailies/air-force-association/2018/09/25/air-force-looks-to-data-analytics-to-help-solve-b-1-c-5-maintenance-challenges/

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  March 29, 2019 | International, Aerospace

  DARPA: In the Sky and on the Ground, Collaboration Vital to DARPA’s CODE for Success

  On a brisk February morning in the Yuma, Arizona, desert, a swarm of unmanned aerial vehicles equipped with DARPA's Collaborative Operations in Denied Environment system, or CODE, successfully carried out mission objectives, even when communications were offline and GPS was unavailable. One-by-one, six RQ-23 Tigersharks lifted off, fitted with an array of sensors onboard. Next to the runway at the U.S. Army's Yuma Proving Ground, the mission team inside a small operations center tracked the aircraft and as many as 14 additional virtual planes on an aerial map. The capstone demonstration paired program performer Raytheon's software and autonomy algorithms and Johns Hopkins University Applied Physics Laboratory's White Force Network to create a realistic, live/virtual/constructive test environment. During four demonstration runs, the team activated a variety of virtual targets, threats, and countermeasures to see how well the Tigersharks could complete their objectives in suboptimal conditions. “Exactly how the aircraft continue to work together in degraded conditions is the most challenging aspect of this program,” said Scott Wierzbanowski, the DARPA program manager for CODE in the Tactical Technology Office. “Current procedures require at least one operator per UAV in the field. Equipped with CODE, one operator can command multiple aircraft; and in a denied environment, the aircraft continue toward mission objectives, collaborating and adapting for deficiencies.” Before, if operators lost communications with a UAV, the system would revert to its last programmed mission. Now, under the CODE paradigm, teams of systems can autonomously share information and collaborate to adapt and respond to different targets or threats as they pop up. “CODE can port into existing UAV systems and conduct collaborative operations,” said Wierzbanowski. “CODE is a government-owned system, and we are working closely with our partners at the Air Force Research Laboratory and Naval Air Systems Command to keep each other informed of successes and challenges, and making sure we don't replicate work. In the end, our service partners will leverage what we've done and add on what they need.” The Tigersharks employed in the demonstration are surrogate assets for CODE. Each has about one-tenth the speed and performance of the aircraft planned for integration, but shows traceability to larger platforms. Constructive and virtual threats and effects presented by the White Force Network are appropriately scaled to the Tigersharks' capabilities. “It's easy to take the CODE software and move it from platform to platform, both from a computer and vehicle perspective. It could be a manned aircraft, unmanned aircraft, or a ground vehicle,” said J.C. Ledé, technical advisor for autonomy with the Air Force Research Laboratory. “The concept for CODE is play-based tactics, so you can create new tactics relatively easily to go from mission to mission.” The Naval Air Systems Command (NAVAIR) will take ownership of CODE after DARPA closes out the agency's role in the program this year. It already has built a repository of algorithms tested throughout the development process. “What we're doing with the laboratory we set up is not just for the Navy or NAVAIR. We're trying to make our capabilities available throughout the entire DoD community,” said Stephen Kracinovich, director of autonomy strategy for the Naval Air Warfare Center Aircraft Division (NAWCAD). “If the Army wanted to leverage the DARPA prototype, we'd provide them not just with the software, but an open development environment with all the security protocols already taken care of.” Kracinovich says NAWCAD has a cadre of people with hands-on knowledge of the system, and is ready to help port the capability to any other DoD entity. That ease of transition puts CODE technologies on a clear path to assist deployed service members by enabling collaborative autonomous systems to operate in contested and denied environments with minimal human supervision. https://www.darpa.mil/news-events/2019-03-22

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  December 7, 2022 | International, Aerospace

  How Model-Based Systems Engineering can speed military modernization

  A subset of digital engineering, MBSE uses models, computer design, analytics and software to create digital twins of prototypes quickly and efficiently.