kokikwbt/predictive-maintenance
Datasets for Predictive Maintenance
This project provides easily accessible datasets crucial for developing and testing predictive maintenance models. It takes raw sensor readings, alarm logs, and other operational data, offering them in a structured format suitable for analysis. Operations managers, maintenance engineers, and data scientists focused on asset reliability would use this to build systems that forecast equipment failures.
158 stars. No commits in the last 6 months.
Use this if you need pre-compiled, real-world data from various industrial scenarios to train and validate models that predict when machinery will fail.
Not ideal if you are looking for a complete, off-the-shelf predictive maintenance solution or real-time data streaming for live asset monitoring.
Stars
158
Forks
40
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 08, 2025
Commits (30d)
0
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