Electric Motor Bearing Fault Noise Detection via Mel-Spectrum-Based Contrastive Self-Supervised Transformer Model

Engineering

• Electric Motor 100%
• Sample Pair 50%
• Industrial Application 50%
• Transfer Learning 50%
• Feature Extraction 50%
• Test Rig 50%
• Drive System 50%
• Fast Fourier Transform 50%
• Data Sample 50%
• Motor Drive 50%
• Human Safety 50%