tvhahn/weibull-knowledge-informed-ml
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
This project helps operations engineers or maintenance technicians predict the remaining useful life (RUL) of industrial bearings. It takes vibration data from bearings as input, processes it, and then outputs a prediction of how much longer the bearing is expected to function reliably. This allows for proactive maintenance planning, preventing unexpected equipment failures.
173 stars. No commits in the last 6 months.
Use this if you need to predict when industrial bearings are likely to fail, based on their vibration data, to optimize maintenance schedules.
Not ideal if you are working with different types of machinery or sensors where vibration data isn't the primary indicator of failure.
Stars
173
Forks
45
Language
Python
License
MIT
Category
Last pushed
Mar 17, 2023
Commits (30d)
0
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