Vibration Analyst-Predictive Maintenance Insights

Example

Transforming time-domain vibration signals into frequency-domain to identify characteristic frequencies indicating specific fault conditions.

Scenario

In a scenario where a centrifugal pump exhibits increased vibration levels, FFT analysis can pinpoint the presence of blade pass frequencies or harmonics indicative of impeller damage or cavitation, enabling targeted maintenance.

Example

Monitoring the change in vibration levels over time to predict when a machine might fail.

Scenario

For a conveyor system, trend analysis might reveal a gradual increase in vibration amplitude at a critical bearing point, suggesting bearing wear. Early detection allows for scheduling bearing replacement during a planned downtime, preventing unexpected failures.

Example

Identifying and quantifying the presence of harmonic frequencies in vibration data to diagnose issues like misalignment or electrical faults.

Scenario

In electric motors, harmonic analysis can detect misalignment between the motor and driven equipment by identifying specific harmonic frequencies that deviate from normal operation patterns, guiding corrective alignment procedures.

Example

Using machine learning algorithms to identify unusual vibration patterns that could indicate emerging issues.

Scenario

Applying anomaly detection to the vibration data from an HVAC system can uncover early signs of fan imbalance or ductwork loosening, even before these issues manifest in detectable symptoms or failures.