Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
Published in 2024 8th International Conference on Medical and Health Informatics, 2024
A comparative study of generative models, a Generative Adversarial Network (GAN) and a Variational Autoencoder (VAE), against a classical Hidden Markov Model (HMM) for early detection of failures in medical devices. We use Data-Driven Digital Twins for predictive and preventive maintenance in complex electro-mechanical medical devices.
Recommended citation: Sadanandan, B., Arghavani Nobar, B., & Behzadan, V. (2024). Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. 2024 8th International Conference on Medical and Health Informatics.
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