Definition ∞ Predictive maintenance is a strategy that uses data analysis to forecast equipment failures before they occur. This approach involves monitoring the condition of machinery through sensors and analyzing performance data to detect anomalies and anticipate potential malfunctions. By scheduling maintenance only when necessary, it minimizes unexpected downtime, reduces repair costs, and extends asset lifespan. It contrasts with routine preventative maintenance, which follows fixed schedules regardless of actual equipment condition.
Context ∞ Predictive maintenance is a key application within Industrial IoT, increasingly discussed in conjunction with blockchain for securing sensor data and creating immutable audit trails for maintenance records. Current debates concern the accuracy and reliability of predictive models, especially in complex operational environments. Future advancements will focus on integrating artificial intelligence for more sophisticated fault prediction and automated maintenance scheduling.
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