Condition-based maintenance that works: turning alerts into fewer breakdowns, not more noise
What you will get from this article Condition-based maintenance sounds simple. Monitor asset health. Spot problems early. Fix them before they become breakdowns. In practice, CBM often delivers something less useful. A stream of alerts. Nobody trusts them. Nobody owns them. Nobody acts on them. Operators see noise. Maintenance teams see extra work. Leaders see no change in downtime. The problem is rarely the technology. It is the response. Alerts without clear actions, owners, and time windows give you a better warning system. Not a better reliability system. What condition-based maintenance means in practice By condition-based maintenance, we mean: act when asset data says to, not when the calendar says to. Sensors (vibration, temperature, pressure) detect degradation early. You intervene before failure. You skip maintenance when the asset is healthy. CBM sits between time-based preventive maintenance and fully predictive programmes. It is practical. It does not need advanced AI. Why most CBM programmes produce noise instead of results Most programmes are built around the sensor, not the response. Vibration monitoring goes live on a compressor. Thresholds are set. Alerts start firing. Then, quietly, things go wrong. There is no defined response. Who acts on the alert? Within what time window?
