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We have a manufacturing assembly line. At the end of it, there is a sensor that can measure the final product. There is a set engineering tolerance so the product will be inside the limit (OK) or outside (NOT OK).

What I want to do is using all the previous measured data, try to predict if the next products are going to be outside this tolerance limit.

Is there a model that can be adapted to achieve this?

If it is possible, can it tell me when? (Based on a tendency maybe?)

I am pretty new to all this so thanks for the help!

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  • $\begingroup$Hi @Gonzo! You asked a very general question, so to familiarize you with the topic of Predictive Maintenance I recommend you this presentation youtu.be/wZaTrkIKtE0. It's about prototyping of ML systems based on a Predictive Maintenance project. Some info on approaches, methods, challenges, etc.$\endgroup$
    – wind
    CommentedJan 18, 2019 at 10:15

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