PROGNOS® for Aircraft

Thanks to PROGNOS®, the predictive maintenance suite developed in-house by AFI KLM E&M, it is possible to predict a future breakdown or to schedule a maintenance operation beforehand.

The power of Big Data

The aim of the predictive maintenance tool is the one 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 sensors installed on the aircraft systems. It’s an example of Big Data application. This continuous stream of flight data is analyzed by the software and transmitted to Air France-KLM Group maintenance control centers, where specialists regularly.

Capabilities

New-Generation aircraft

Legacy fleets

In motion

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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
• On-time and smooth flights for passengers
• Preserve brand reputation