Fraunhofer IIS/EASIntelligent monitoring using airborne sound monitoring
Structure-borne noise signals from corresponding system components are often evaluated for condition-based machine monitoring. A practical test compares the alternative approach of airborne noise monitoring in combination with AI algorithms with previous methods.
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<p>Figure 1: Hydraulic pumps, and axial piston pumps in particular, are considered to be cost-effective components in a complex automation system. Nevertheless, condition monitoring is advisable. Airborne noise monitoring is a cost-effective method for this purpose.</p> © Bosch Rexroth