<ul><li>Machine fault diagnosis (FD) is a critical task for predictive maintenance, enabling early fault detection and preventing unexpected failures.</li><li>Existing FD models have limited generalization across diverse datasets, making them operation-specific.</li><li>UniFault is a foundation model for fault diagnosis that addresses the challenges of diverse and heterogeneous FD datasets.</li><li>UniFault achieves state-of-the-art performance, setting a new benchmark for fault diagnosis models in predictive maintenance.</li></ul>

UniFault: A Fault Diagnosis Foundation Model from Bearing Data

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