Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
Published in arXiv preprint, 2025
A comparative study of generative models (GAN, VAE) and classical methods (HMM) for early detection of failures in medical devices. The research leverages Data-Driven Digital Twins for predictive and preventive maintenance strategies in complex electro-mechanical medical devices.
Recommended citation: Sadanandan, B., Arghavani Nobar, B., & Behzadan, V. (2025). Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. arXiv preprint arXiv:2505.04845.
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