Meaning
Condition monitoring systems record mechanical acceleration data over time to track the physical health of industrial machinery, rotating equipment, and transit payloads. Implementing vibration logging allows maintenance teams to detect early signs of bearing wear, shaft misalignment, or structural fatigue before a catastrophic failure occurs. This measurement involves installing triaxial accelerometers that capture high-frequency movement in three dimensions.
The technique is used on steam turbines, conveyor systems, and sensitive cargo shipments to verify that operating and transit conditions remain within safe limits.
Sensor Telemetry
High-frequency data capture uses MEMS accelerometers to record acceleration forces along multiple axes. During vibration logging, the sensor stores peak values and root-mean-square calculations to minimize the memory storage required on the logging device. This method allows the sensor to run for months on a single battery.
The stored data is periodically uploaded to a central monitoring database.
Damage Assessment
Analyzing the collected data involves converting time-domain acceleration readings into frequency-domain spectra using fast Fourier transforms. This analysis helps engineers identify the specific mechanical components that are failing, as different parts vibrate at different characteristic frequencies. A loose mount produces a low-frequency rattle, while a failing ball bearing produces high-frequency spikes.
This distinction helps in planning repairs.
Predictive Maintenance
Scheduling machine downtime requires balancing maintenance costs against the risk of unexpected breakdown. If an operator starts vibration logging without first establishing a baseline of normal operation, the system will trigger false alarms or miss critical failures. The cost of calling for repairs too early is unnecessary production downtime.
A validated baseline ensures that maintenance is scheduled only when genuine wear is detected.
