In industrial manufacturing processes, the operating condition of motors, systems and even complete power plants are sometimes assessed subjectively based on acoustic noises.

The demand for objective acoustic testing technology for preventive maintenance (predictive maintenance) is therefore increasing rapidly.

Acoustic testing can be used to monitor changes in processes and even predict potential malfunctions. This is supported by machine learning methodologies. Together with our partner Fraunhofer IDMT, we are developing customised testing solutions.