What is the difference between preventive maintenance and predictive maintenance in safety?

What is the difference between preventive maintenance and predictive maintenance in safety?

• A. Preventive maintenance is driven by real-time data; predictive maintenance is calendar-based.
• B. Preventive maintenance is scheduled; predictive maintenance uses data to anticipate failure based on condition.
• C. Predictive maintenance replaces preventive maintenance entirely.
• D. Both are identical in approach.

Answer: (B)

The difference is about how maintenance decisions are made. Preventive maintenance is scheduled at fixed times or usage intervals based on recommendations or manufacturer guidelines. It keeps equipment serviced at regular intervals to reduce the chance of failure, which helps safety by addressing wear before problems show up. However, it may lead to unnecessary maintenance or miss failures that occur between the scheduled points. Predictive maintenance, on the other hand, relies on actual operating data and condition indicators (like vibration, temperature, oil analysis, wear trends) to forecast when a component will fail and schedule maintenance just before that happens. This approach uses real data to anticipate issues, which can improve safety by preventing unexpected breakdowns while avoiding unnecessary servicing. The option stating that preventive maintenance is driven by real-time data is incorrect because that describes predictive maintenance, not preventive. The idea that predictive maintenance replaces preventive maintenance entirely isn’t accurate, as many programs use both approaches. Finally, they are not identical in approach, since one is fixed scheduling and the other is data-driven condition-based planning.

The difference is about how maintenance decisions are made. Preventive maintenance is scheduled at fixed times or usage intervals based on recommendations or manufacturer guidelines. It keeps equipment serviced at regular intervals to reduce the chance of failure, which helps safety by addressing wear before problems show up. However, it may lead to unnecessary maintenance or miss failures that occur between the scheduled points.

Predictive maintenance, on the other hand, relies on actual operating data and condition indicators (like vibration, temperature, oil analysis, wear trends) to forecast when a component will fail and schedule maintenance just before that happens. This approach uses real data to anticipate issues, which can improve safety by preventing unexpected breakdowns while avoiding unnecessary servicing.

The option stating that preventive maintenance is driven by real-time data is incorrect because that describes predictive maintenance, not preventive. The idea that predictive maintenance replaces preventive maintenance entirely isn’t accurate, as many programs use both approaches. Finally, they are not identical in approach, since one is fixed scheduling and the other is data-driven condition-based planning.