Condition Monitoring
Condition monitoring is the continuous or periodic measurement of an asset's health indicators — vibration, temperature, oil quality, ultrasound — to detect developing faults. It is the data foundation that makes predictive maintenance possible.
Condition monitoring tracks parameters that change as a machine degrades. Common techniques are vibration analysis (rotating equipment), thermography (electrical and mechanical hot spots), oil analysis (gearboxes and bearings), ultrasound (early bearing faults and leaks) and motor-current signature analysis. The data feeds dashboards and predictive models, turning raw signals into actionable warnings.
Related terms
Predictive Maintenance (PdM) · Vibration Analysis · Anomaly Detection
Related guides
Software
Augury
Machine health monitoring for rotating equipment using vibration and AI.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Where this applies
Establishing a lubrication management programme · Establishing a precision alignment and balancing programme · Maintaining surface condenser vacuum performance · Maintaining a thermal oil heating system · Deciding whether to retube a heat exchanger · Tuning evaporative cooling performance · Establishing a laser shaft alignment programme · Setting up a dynamic balancing programme