Where does your plant sit on the maintenance spectrum?

From run-to-failure to proactive, with RCM on top. Where your lubrication and monitoring programme sits says more about reliability than almost anything else.

Run to failure

No budget for filters, seals or sample ports. The equipment runs until it fails. It is not necessarily wrong for low-criticality equipment where failure is cheap and safe, but it needs a large, skilled repair crew on standby. There is never time to do it right, but always time to do it over.

Preventive (time-based)

Oil changes and greasing on a calendar interval, regardless of condition. A real improvement, but a calendar does not know what is happening inside the equipment. It can pull oil that still has life left, or miss a problem developing between intervals.

Predictive

Measure instead of guess: vibration analysis, oil analysis, infrared thermography, ultrasonics. Act on what the data shows rather than what the calendar says. Oil analysis tells you the real condition of the lubricant and the machine, not an assumed one.

Proactive or precision

Instead of detecting problems earlier, eliminate their root causes. Precision lubrication is the textbook example: controlling contamination and applying the correct lubricant in the correct amount removes the conditions that cause wear in the first place.

Reliability-centred maintenance (RCM)

RCM is a prioritisation framework rather than a strategy of its own. It directs maintenance effort to the equipment where failure matters, based on consequence and criticality. It traces back to a 1978 report commissioned by the US Department of Defense, built on an airline's maintenance programme analysis, so it is a well-tested method of nearly 50 years.

Most equipment does not fail on a schedule

The 1978 study by Nowlan and Heap found that only about 11 percent of components show an age-reliability relationship that justifies scheduled, time-based replacement. The other roughly 89 percent fail in patterns that a fixed calendar interval does not predict. If most failures are not schedule-driven, scheduling replacement stops being the answer and you need to measure condition.

Bearings, in numbers

Published bearing failure statistics attribute about 36 percent of premature bearing failures to poor lubrication, 34 percent to fatigue, 16 percent to mounting and handling, and 14 percent to contamination. Lubrication and contamination together are about half, and both are controllable.

Use the criticality lens

Not every asset needs equal attention. A low-criticality pump may reasonably stay on basic greasing, while a critical compressor justifies precision lubrication and full oil analysis coverage. Treating every asset the same over-services low-value equipment and under-services critical equipment.