Empirical Investigation of the Impact of Phase Information on Fault Diagnosis of Rotating Machinery

Hiroyoshi Nagahama, Katsufumi Inoue, Masayoshi Todorokihara +1

Predictive maintenance of rotating machinery increasingly relies on vibration signals, yet most learning-based approaches either discard phase during spectral feature extraction or…