Think of every aircraft part like a light bulb whose exact burnout time you don’t know. This system watches how the parts are actually used and stressed, then uses machine learning to predict when each one is likely to “burn out” so you can replace it just before it fails, not too early and not too late.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.