lestercardoz11/fault-detection-for-predictive-maintenance-in-industry-4.0
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
This project helps operations managers and maintenance engineers predict equipment failures before they happen, reducing costly downtime. It takes in sensor data and machine performance logs to identify potential faults like motor malfunctions caused by factors such as moisture or weather. The output is an early warning system that flags when a machine is likely to fail, enabling proactive maintenance.
143 stars. No commits in the last 6 months.
Use this if you manage industrial machinery and want to leverage sensor data to anticipate and prevent unexpected equipment breakdowns.
Not ideal if you are looking for a plug-and-play commercial solution, as this requires technical expertise to implement and adapt.
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Last pushed
Jul 11, 2021
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