What Is Predictive Maintenance?
Predictive maintenance is a data-driven strategy that detects maintenance needs of machines and equipment before they fail. Equipment health is continuously monitored using sensor data and AI algorithms, and potential failures are predicted in advance.
How Does Predictive Maintenance Work?
A predictive maintenance system continuously collects data from sensors such as vibration, temperature, current, and oil analysis. This data is analyzed by machine learning algorithms to learn normal operating patterns. Early warnings are issued when abnormal conditions are detected. This prevents unplanned downtime and optimizes maintenance scheduling.
Where Is Predictive Maintenance Used?
What Are the Advantages of Predictive Maintenance?
Olivenet's Predictive Maintenance Solutions
Olivenet offers machine health scores, vibration analysis, and failure prediction algorithms through our predictive maintenance solutions. Minimize unplanned downtime in your factories.
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