Predictive maintenance uses condition monitoring data to decide when to service a component.

• A. Improved energy efficiency
• B. Remaining useful life and schedule maintenance just before failure
• C. Immediate replacement of all components
• D. No maintenance needed

Answer: (B)

Predictive maintenance relies on condition-monitoring data to estimate how much useful life a component has and to plan service just before a likely failure. By tracking indicators such as vibration, temperature, oil quality, and runtime, the maintenance team can forecast when performance will degrade to an unacceptable level and schedule intervention before a fault becomes critical. This approach helps avoid unexpected downtime and reduces unnecessary servicing, aligning maintenance with actual wear and risk.

Other ideas aren’t the primary aim: improving energy efficiency can be a byproduct of well-maintained equipment but isn’t what predictive maintenance centers on; replacing all components immediately would be wasteful and not driven by data; and saying no maintenance is needed would ignore the data-driven need to prevent failures.