Vibration analysis is an essential technique for identifying mechanical faults in rotating equipment. Thanks to technological advances, it is now possible to monitor asset health without invasive intervention, anticipating failures through sensors and data processing.
This discipline is key to implementing predictive maintenance. By collecting signals with accelerometers and processing them through algorithms, it is possible to detect imbalance, misalignment, bearing failures, and other fault modes before they impact operations.
Among the fundamental principles of vibration analysis:
- Does not require stopping the machine: performed under normal operating conditions.
- Based on measurements of acceleration, velocity, and displacement.
- Each fault mode generates a characteristic vibration signature.
- FFT (Fast Fourier Transform) is key for visualizing spectra.
- Signals are interpreted through parameters such as amplitude, frequency, and RMS.
- Enables predictive and proactive maintenance.
- Compatible with IoT sensors and online monitoring.
- Can be integrated with cloud-based platforms.
- Uses envelope alarms and machine learning algorithms.
- Reduces unplanned failures and optimizes operational performance.
Vibration analysis is part of industrial predictive monitoring. At Maper, we apply triaxial sensors, early detection algorithms, and spectral analysis to increase asset availability.
If you want to implement vibration analysis and predictive maintenance on your assets, contact us today and find out how Maper can help you prevent critical failures.
