katulu-io/uniwear-dataset
Tidy multi-material machine tool wear dataset for prognostics and health monitoring.
This dataset helps you predict how much a machine tool has worn down and how long it will last before needing replacement, which is critical for preventing unexpected downtime. It provides sensor readings like force, vibration, and power from milling operations, along with corresponding tool wear measurements. Operations engineers, maintenance planners, or manufacturing managers can use this to build better predictive maintenance models for their machinery.
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Use this if you need diverse, pre-processed machine tool wear data from multiple materials to develop or test predictive maintenance algorithms.
Not ideal if you need raw, unsmoothed data straight from the sensors or data from machining processes other than milling.
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19
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3
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Oct 11, 2023
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0
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