What is condition monitoring?
Condition monitoring is the practice of measuring the health of equipment while it runs, so that developing faults appear in the readings before a breakdown. Typical measurements are vibration, temperature, motor current, oil analysis, and ultrasound. Readings are compared with the manufacturer’s limits or with the asset’s own normal pattern.
Monitoring can be periodic, with a technician carrying a handheld collector on a route. It can also be continuous, with sensors streaming readings to a data historian or an Internet of Things (IoT) platform. Machine learning adds anomaly detection that learns each asset’s normal behavior and catches slow drift that fixed alarm limits miss. Condition monitoring supplies the evidence that predictive maintenance and remaining useful life estimates depend on.
Condition monitoring in practice
A county utility runs dozens of unstaffed wastewater lift stations. Each pump reports run time, motor current, and wet-well level to the control system. A model flags a pump that takes longer to empty its well while drawing more current, a common sign of rags caught in the impeller. A crew clears it on a scheduled visit before the pump trips at night and the station overflows.
What to watch for
- Instrument the assets whose failure is costly or dangerous first, since sensors on everything produce data nobody reviews.
- Give every alert an owner and a response procedure, or staff will learn to ignore it.
- Record what technicians find at each alert, because those findings become the labels that improve the model.