Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
This project helps operations managers and maintenance teams monitor industrial machinery to predict potential issues before they cause costly downtime. It takes sensor data from equipment like bearings or batteries and provides insights on when a machine might fail, its remaining useful life, or if it's behaving unusually. This allows proactive maintenance, reducing unexpected repairs and operational interruptions.
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Use this if you need to implement a system for predicting equipment failures, estimating remaining operational life, or detecting unusual machine behavior to optimize maintenance schedules.
Not ideal if you require real-time, high-frequency anomaly detection or predictive modeling with neural networks, as these are not explored in this project.
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Sep 29, 2022
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