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

no code implementations • 3 Nov 2022 • Peter Wissbrock, David Pelkmann, Yvonne Richter

Therefore, the aim of this study is to investigate the robustness of features used for anomaly detection in geared motor end-of-line testing.

Anomaly Detection

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

no code implementations • 3 Nov 2022 • Peter Wißbrock, Yvonne Richter, David Pelkmann, Zhao Ren, Gregory Palmer

We train a state-of-the-art one-class-classifier, on samples from healthy motors and separate the faulty ones for fault detection using a threshold.

Fault Detection One-class classifier