Condition monitoring is the practice of listening to what machinery is telling you - through vibration, heat, and oil - so you can act on the early signs of wear instead of waiting for a breakdown. It is the technical foundation on which condition-based and predictive maintenance are built.
Condition Monitoring in one line: Condition monitoring is the continuous or periodic measurement of machine health indicators - such as vibration, temperature, and lubricant condition - to detect developing faults early, enabling maintenance to be scheduled on actual condition rather than on a fixed calendar.
The workhorse technique is vibration analysis: rotating equipment like pumps, compressors, and motors produces vibration signatures whose frequency content reveals imbalance, misalignment, bearing wear, and looseness, often weeks or months before failure. Temperature monitoring, including thermography, catches overheating bearings and electrical connections. Oil analysis measures wear metals, contamination, and lubricant degradation, effectively a blood test for the machine.
Other parameters include acoustic emission and ultrasound for early bearing defects and leaks, motor current signature analysis for electrical faults, and process parameters like efficiency or pressure differential that indicate degradation indirectly. Which techniques apply depends on the asset - a reciprocating gas compressor and a centrifugal pump are watched differently.
The point of gathering these signals is to move away from either running to failure or replacing parts on a rigid calendar. With condition monitoring, maintenance is triggered by measured evidence of degradation - a rising vibration trend crossing a set threshold - which avoids both surprise breakdowns and the waste of servicing healthy equipment. This is condition-based maintenance, and it is the direct precursor to predictive maintenance, which adds forecasting of remaining useful life.
Increasingly, condition data flows into the same SCADA and telemetry systems that carry process data. A vibration or temperature sensor on a remote compressor can report over the same industrial protocols as the process instruments, letting a central platform trend machine health alongside production. Merobix reads sensor data over protocols such as Modbus and MQTT, so condition-monitoring readings from field equipment can be historized and trended in the same web-native view as everything else on the site.
Condition monitoring is measuring machine health signals to detect faults early. Predictive maintenance uses those measurements, often with modeling or analytics, to forecast when a failure will occur and when to intervene. Monitoring supplies the data predictive maintenance depends on.
The most common are vibration, temperature, and lubricant condition through oil analysis. Others include acoustic emission and ultrasound, motor current signature analysis, and process indicators like efficiency or differential pressure that reveal degradation indirectly.
Condition-based maintenance triggers service based on measured evidence of degradation, such as a vibration trend crossing a threshold, rather than on a fixed calendar. It avoids both unexpected failures and needless servicing of healthy equipment.
This page references the protocol specifications published by the organizations below. Editions, product capabilities, and documentation change over time - confirm current requirements and specifications directly with the source.
Last reviewed: July 27, 2026. Merobix is not affiliated with, endorsed by, or sponsored by these organizations; their names are used only to identify the standards and products discussed.
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