Sensor system identifies mechanical faults by acoustic measurements

December 05, 2018 //By Christoph Hammerschmidt
Sensor system identifies mechanical faults by acoustic measurements
The Fraunhofer Institute for Non-Destructive Testing IZFP has developed a sensor system that can automatically detect errors and irregularities of machines through the characteristic noise they are generating. The method works without prior calibration and can be used in a wide range of industrial applications.

If large machines and systems are already in operation, defects or incorrectly assembled components can lead to machine failure and thus to production stoppages and economic loss. For this reason, quality assurance prior to commissioning or after final assembly of plants and machines is of considerable importance. In order to recognize the correct assembly and function of machines reliably and without large expenditure, researchers of the Fraunhofer IZFP have developed an objective test solution, which can be used for the assembly final control as well as for the durable quality monitoring of moving or rotating machines and plants.

Machines and equipment generate characteristic vibrations and thus noises during operation. Since assembly errors or defects often cause a change in the "normal" operating noises, these vibrations provide information about the quality and correct operation of machines. Often the assembly personnel is entrusted with a good "hearing" and long experience with this testing task. Human hearing, however, is subject to a certain subjectivity: it tires after a certain time or is impaired by ambient noise. Available acoustic test systems often require adaptation or calibration, especially if the equipment or machines to be tested have to be changed only slightly in design.

The AcoustiX sensor system from Fraunhofer IZFP uses the data from individually adapted acoustic sensors, which are attached directly to the machine or record vibrations and noises of the respective systems contactlessly via microphones. Errors or irregularities are automatically analyzed and finally logged. Based on the signal evaluation, specific statements about the correct assembly and function of the system or machine can be made within just a few minutes.

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