This episode introduces predictive maintenance (PdM) as a strategy for preventing costly unplanned downtime in manufacturing environments. Unlike traditional methods, PdM uses intelligent analysis of machine sensor data and artificial intelligence (AI) algorithms to predict potential failures before they occur. By analyzing trends and anomalies in various operational parameters, PdM allows maintenance to be performed exactly when necessary, optimizing costs and maximizing machine availability.

The podcast outlines common causes of failure, types of data useful for prediction, the role of artificial intelligence in identifying risk patterns, and the benefits and steps for implementing a predictive maintenance system.

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🔗 Predictive Maintenance – Ending Unplanned Downtime

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