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Case study

Predictive maintenance
for aircraft manufacturing

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Bombardier

2020

Bombardier

To alleviate its very elevated production times, Bombardier initiated a project with the StellarX team, aimed at digitizing quality inspection and repair processes for aircraft fuselage parts. The resulting solution, leveraging Augmented Reality, Digital Twins, and Machine Learning technologies, facilitates aircraft maintenance and repair by allowing operators to quickly locate potential defects, verify and update statuses, examine historical and current data in real-time, and execute comparative analyses, all through an easy-to-use floatable interface.

“ This is how today’s Bombardier is operating. This is a prime example of how innovation will help our operator meet their true potential. ”

Buu Khanh Vo
R&D Specialist
Bombardier Aerospace

Awards

No awards associated with this case study.

Results

✈️

Better
quality

👨‍🔧

Increased
productivity

Saved
time

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and outcome of this project.

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