Quantizing weights and activations in a pre-trained probabilistic BNN for gear fault diagnosis yields 30-45% computational efficiency gains with no loss in accuracy or uncertainty estimates.
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Quantized Probabilistic AI for Gear Fault Diagnosis in Motor Drives
Quantizing weights and activations in a pre-trained probabilistic BNN for gear fault diagnosis yields 30-45% computational efficiency gains with no loss in accuracy or uncertainty estimates.