What is Predictive Maintenance?
Predictive Maintenance is a strategy that uses data analysis and machine learning to predict equipment failures before they occur, enabling intervention at the optimal moment to minimise downtime and maintenance costs.
Technical Definition: A maintenance strategy that uses data analysis and machine learning to predict equipment failures before they occur. By analysing patterns in sensor data (vibration, temperature, power consumption), it identifies anomalies that precede failure – enabling intervention at the optimal moment.
Why it matters: Predictive maintenance minimises unplanned downtime and reduces material and labour costs. Studies consistently show it reduces maintenance costs by 10-25% and downtime by 35-45% compared to scheduled (calendar-based) maintenance.
HubMind’s view: Predictive maintenance requires the right data – high-frequency, correctly tagged sensor data from the monitored equipment. We build the data infrastructure that makes predictive maintenance possible before recommending any analytics tool.
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