Predictive Aircraft Maintenance Tools
Prognos for Aircraft & Prognos for Engine
The Paris Air Show is well known as a venue at which champagne flows and corporate testosterone exudes. Claims of superior performance is the real language of Salon international de l’aéronautique et de l’espace de Paris-Le Bourget, Salon du Bourget.
Thus, it is not completely surprising that AFI KLM E&M, the French-Dutch consortium, is announcing its predictive maintenance solutions, Prognos for Aircraft, a performance monitoring and alert solution for critical aircraft systems, and Prognos for Engine, a dedicated engine data analysis and failure prediction system. The big data base is captured via aircraft connectivity. The Prognos applications rely on the real-time processing and advanced algorithms derived from historical parameters. The software generates alerts for preventative maintenance and allows for optimal MX scheduling.
Prognos for Aircraft, a performance monitoring and alert solution for critical aircraft systems, and Prognos for Engine, a dedicated engine data analysis and failure prediction system, are both already in use for the AIR FRANCE and KLM fleets as well as those of third-party airlines.
It is in use on A380s and Boeing 747/787s and is being developed for the A320/A330/A350 and Boeing 777, while engines solution is available for monitoring engines in the CFM56, GE90, CF6, PW4000, GEnx and GP7200 families, and will shortly take in the Trent XWB and Trent 1000.
Close to 1,200 engines are currently being monitored using the product on behalf of around 20 airlines by AFI KLM E&M.
The repair and overhaul of powerplants and airframes are expensive events for airlines. More accurate predictions of when the visit to the MX shop and of what must be done will ameliorate that cost.
It will be interesting to see if the data gathering captures major and minor repairs. Typically, during C and D structural checks and the engine overhaul, the AMTs, as they perform the prescribed cards, discover other work which needs be done. Prognos may identify the big jobs, but unless the system is designed to find the micro problems, the time in the hangar or shop may be increased.