most citedDiscussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2022★ 2 cited

Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors

Peter Wissbrock, David Pelkmann, Yvonne Richter

In the end-of-line test of geared motors, the evaluation of product qual-ity is important. Due to time constraints and the high diversity of variants, acous-tic measurements are mo…

eess.SP2022★ 1 cited

Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection

Peter Wißbrock, Yvonne Richter, David Pelkmann +2

Acoustic-based fault detection has a high potential to monitor the health condition of mechanical parts. However, the background noise of an industrial environment may negatively i…