Which maintenance approach uses condition data to anticipate failures and schedule repairs?

Which maintenance approach uses condition data to anticipate failures and schedule repairs?

• A. Predictive maintenance.
• B. Preventive maintenance.
• C. Reactive maintenance.
• D. Emergency maintenance.

Answer: (A)

The idea being tested is using current condition data to forecast when a component will fail and plan repairs before that happens. Predictive maintenance relies on sensors and analytics to monitor indicators like vibration, temperature, wear, or oil quality, and then estimate remaining useful life or the probability of failure. When the data shows a likely impending failure, maintenance can be scheduled during planned downtime, minimizing unplanned outages and optimizing resources. This is different from preventive maintenance, which follows a fixed calendar or usage schedule regardless of how the asset is actually performing. It’s also different from reactive maintenance, which happens only after a failure occurs, and emergency maintenance, which is urgent and unplanned due to an immediate breakdown.

The idea being tested is using current condition data to forecast when a component will fail and plan repairs before that happens. Predictive maintenance relies on sensors and analytics to monitor indicators like vibration, temperature, wear, or oil quality, and then estimate remaining useful life or the probability of failure. When the data shows a likely impending failure, maintenance can be scheduled during planned downtime, minimizing unplanned outages and optimizing resources. This is different from preventive maintenance, which follows a fixed calendar or usage schedule regardless of how the asset is actually performing. It’s also different from reactive maintenance, which happens only after a failure occurs, and emergency maintenance, which is urgent and unplanned due to an immediate breakdown.