Prognos

PROGNOS® - Predictive maintenance

This year Prognos celebrates 10 years of helping airlines anticipate maintenance events and enhance operational reliability.

 

Leveraging our in-depth knowledge of aircraft systems, our ability to innovate and our Big Data skills, we develop predictive analysis programs used to replace aircraft system components before they actually fail.


 

Key Milestones Shaping Predictive Maintenance

 

What started with one idea — anticipating the unpredictable — has grown into a comprehensive predictive maintenance suite supporting aircraft, engines and APUs.

This anniversary reflects a decade of innovation and continuous development, illustrated through key milestones from the launch of PROGNOS© in October 2016 to today. 

"For 10 years, PROGNOS has been helping airlines and operators anticipate maintenance needs with confidence. A decade of continuous development has shaped our expertise, strengthened our aircraft operational availability, and reinforced the trust we have built with our customers. As the industry evolves, PROGNOS will continue to innovate and develop, shaping the future of aircraft, engine, and APU maintenance."

Didier Fortuny - Business Owner PROGNOS for Aircraft

Predicts and avoids failures

 

Available for Airbus and Boeing fleets, PROGNOS® increases your operational reliability, anticipating your maintenance needs. And that means minimized AOG risks and related operating costs.

In motion

PROGNOS® - Predictive maintenance range of solutions available to optimize airframe and engines MRO operations.

 

 

How does it work?

 

Easily implemented, this Big Data solution for maintenance services is both a tool and an analysis. It retrieves data on a daily basis from your aircraft, inflight and during turnarounds, to be securely stored and analyzed daily by highly-qualified engineers.

“The idea is to decrease cases of AOG, delays and flight cancellations.” said Crispijn Huijts, Digital Products and Services Manager

Key benefits:
  • Increased operational reliability;
  • Improve flight safety;
  • Improved TAT, dispatch, aircraft availability & trouble-shooting procedures;
  • Costs & time savings;
  • Reduced flight delays and cancellations;
  • No unscheduled shop visits or removals through event prediction;
  • Secure data delivery;
  • Easy implementation.

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