Quick answer: Predictive maintenance uses sensor data and analytics to anticipate when equipment will fail, so it can be serviced just before it breaks. This shifts maintenance from reactive fire-fighting or rigid schedules to a data-driven approach that cuts downtime, prevents safety incidents, and reduces cost.

What is predictive maintenance?

Predictive maintenance monitors the actual condition of equipment — vibration, temperature, wear — and uses analytics to forecast failures. It is a powerful tool within physical risk management for preventing the failures that cause downtime and hazards.

How does it differ from other maintenance?

Reactive maintenance fixes things after they break; preventive maintenance follows fixed schedules; predictive maintenance acts on real condition data, servicing equipment only when it is actually needed. This improves both reliability and efficiency.

What are the benefits?

Predictive maintenance reduces unplanned downtime, prevents catastrophic failures and safety incidents, extends asset life, and optimizes maintenance spend. It strengthens asset management and reliability.

What enables it?

It relies on sensors, condition monitoring, and technology and analytics. Mobius Risk Group's advisory and analytics services help firms apply data-driven approaches to physical assets.

Frequently asked questions

What is predictive maintenance?

Using condition data and analytics to anticipate equipment failures so maintenance happens just before failure rather than after or on fixed schedules.

How does it reduce risk?

By catching developing faults early, it prevents the failures that cause downtime, safety incidents, and costly damage.

How is it different from preventive maintenance?

Preventive maintenance follows fixed schedules; predictive maintenance acts on real-time condition data, servicing equipment only when needed.