continuously recording and analyzing noise and vibrations of HVAC Equipment

The acoustics of systems can be an important indicator of the condition and performance of HVAC systems and machines in general. By , anomalies can be detected and potential problems identified at an early stage.

This method is referred to as “Acoustic Predictive Maintenance” and is an example of predictive maintenance that will replace “preventive maintenance” concepts in HVAC systems.

“Acoustic Predictive Maintenance” is a method based on the analysis of noise and vibrations. The continuously recorded machine noises are compared with the noise data from normal operation in order to derive statements about the operating status. Noise and vibration analysis is used to detect anomalies and identify potential problems at an early stage. The data is evaluated in real time and compared with the reference data. If deviations are detected, suitable measures can be taken to prevent or minimize damage.

By evaluating acoustic data in combination with information from air pressure, refrigerant, humidity and temperature sensors, HVAC systems can be monitored virtually seamlessly in real time, reducing unplanned downtime, extending the service life of systems and cutting maintenance costs. ​