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
Article source: https://www.defenseone.com/business/2018/05/us-air-force-adding-algorithms-predict-when-planes-will-break/148234/