Diagnosis of Mechanical and Electrical Faults in Electric Machines Using a Lightweight Frequency-Scaled Convolutional Neural Network

Optimizing computational efficiency while maintaining accuracy in electrical machine fault detection is a critical challenge. To address this, the Frequency-Scaled Convolutional Neural Network is proposed as a lightweight yet highly accurate model for detecting electrical machine faults. A key feature of this model is its initial layer, which is inspired by the effects of faults on frequency harmonics in rotating systems. This layer includes a …