PROGNOS® for Aircraft

Thanks to PROGNOS®, the predictive maintenance suite developed in-house by AFI KLM E&M, it is possible to predict future breakdowns or schedule maintenance operations in advance. With tailored advice by our predictive maintenance experts, you will optimize aircraft availability and decrease total cost of ownership.

The power of Big Data

The aim of the predictive maintenance tool is the same as that of all the operators worldwide: to decrease cases of AOG, delays and flight cancellations. To achieve this, the PROGNOS® operational solution is based on the collection and analysis of technical data generated by the thousands of sensors installed on the aircraft systems. This continuous stream of flight data is analyzed by the software and transmitted to Air France-KLM Group maintenance control centers, where specialists routinely monitor for deviations, patterns, and irregularities.

Capabilities

New-Generation aircraft

Legacy fleets

In motion

AirAsia: The MRO Lab On Your Doorstep

Nadzri Hashim, Head of Engineering, AirAsia group

No NFF in hundreds part removals

Using our in-depth engineering knowledge and Big Data from the aircraft, algorithms are developed that have a very high accuracy. All the replacements initiated by the Prognos solutions were confirmed faulty by the repair shop. The algorithms are continuously improved based on the data provided by the aircraft (such as electrical power, speed, angle of attack, or temperature) but also on the shop feedback, which allows continuous improvement based on new failure cases.

Key benefits:

• Prevent AOG, flight delays & cancellations
• Improve airworthiness & aircraft availability
• Reduce troubleshooting efforts
• Reduce unscheduled shop visits or removals
• Increased system performance
• On-time and smooth flights for passengers
• Preserve brand reputation