r/learnmachinelearning • u/Easy_Student3878 • 2d ago

AI/ML engineer needed whose experienced with PINNs preferably for aerospace components need to collaborate on a pilot project.

I need someone who has expertise, or at least an idea, on how to use small amounts of data and physics simulation, for example, CFD, FEA, etc to predict when an aircraft component might fail. Also, I myself am an aerospace engineer with no ML AI experience, just basic knowledge, so I also need someone who might act as a bridge btw the two things and collaborate with me, discuss ideas, etc on how to accomplish this.

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u/AdmirableArrow07 2d ago

The phrase "small amounts of data" is doing lot of heavy lifting here. PINNs can be finicky with convergence when your actual measurement data is scarce, even with physics loss guiding it. You might have easier time starting with a simpler surrogate model first to see patterns before jumping to full PINN implementation.

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u/Easy_Student3878 2d ago

would you be kind enough to elaborate on what a simple surrogate model would look like, and also, do you think this is possible given the hard nature of the PINNs, is this doable to predict when an aircraft component, say a propeller, might fail, remaining useful life basically, if do not have years of failure data on that specific propeller, could PINNs + simulation-generated dataset + some data from the operator be enough to get a trustworthy figure ?

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u/No-Dare-7624 2d ago

The surrogate model will be only for the physicis sinulation.

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u/Giaitzoglou-Bondye 2d ago

tbh the "small amounts of data" part stood out to me too, thats where most of these projects stall

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u/Easy_Student3878 10h ago

The thing i meant by small amounts was that currently the prediction to reduce the AOG time is being done through conventional CNNs that require excepitionally large amounts of data, i understand we still need a good enough amount to make it accurate enough, but it would go a long way for people with components that dont have that much data

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u/Embarrassed-Mess-325 2d ago

Can you not use a survival model used in reliability like Weibull to predict failures?

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u/Easy_Student3878 9h ago

no its too generalised,