3 papers
eess.SY2026
Quantized Probabilistic AI for Gear Fault Diagnosis in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
Deploying large artificial intelligence (AI) models in power electronics often demands high computational resources. Driven by the quantization paradigm, this digest proposes a qua…
eess.SY2026
Unlocking Embodied Probabilistic Computational Features in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
Artificial intelligence (AI)-driven fault diagnosis in motor drives often requires significant computational efforts and time for re-training, in addition to the limited knowledge…
eess.SY2024
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
This paper introduces a novel approach to quantify the uncertainties in fault diagnosis of motor drives using Bayesian neural networks (BNN). Conventional data-driven approaches us…