What is Predictive Maintenance

Definition

Predictive maintenance uses sensor data and machine-learning models to predict when equipment is likely to fail, so maintenance is performed just before failure rather than on fixed schedules or after breakdowns, reducing downtime and unnecessary servicing.

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Predicts failures so maintenance happens just in time
Reduces unplanned downtime from unexpected breakdowns
Avoids unnecessary servicing of healthy equipment
Extends asset life and cuts maintenance cost

Real World Example

A manufacturer fits its machines with sensors and uses predictive maintenance models to detect early signs of bearing wear, scheduling repair just before failure and avoiding both costly breakdowns and premature part replacement.

FAQs

How does predictive maintenance work?

It analyses sensor data with models to predict equipment failures before they happen, enabling just-in-time maintenance.

How is it better than scheduled maintenance?

It services equipment based on actual condition and predicted failure, avoiding both breakdowns and unnecessary fixed-schedule work.

What data does it need?

Sensor data such as vibration, temperature, and usage, plus historical failure records to train models.