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There are startups today that automate this process with machine learning. They record the vibrations from your equipment and notify you when something changes or is likely to fail given historic patterns for similar equipment.



Not just startups[1]. AWS, among others I'm sure, have at least attempted to turn this man's intuition into a little yellow box and an algorithm. Scaling to many thousands of machines at once, instead of just the ones he happens to touch.

[1] https://aws.amazon.com/monitron/


They are selling the delusion that factories wont need qualified mechanical engineers to maintain the machines and interpret the vibration data.


Many, many, many startups - this seems to be a very popular idea!


Ah, selling ML to the predictive maintainance market!




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