Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery

Victor Gialis, Maxime Metz, David Esteve +1

Deep learning is a new way for machinery fault diagnosis but requires extensive labeled data, a scarce resource in industrial settings. We propose Spectral Aliasing Pretext (SAP),…