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Oyekunle Oshidele

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Open access Aug 2026

OD-ViTFScL: Asynchronous Few-Shot Continual Learning for Intelligent Process Monitoring and Fault Diagnosis in Petrochemical Plants

Extensive experiments on the Tennessee Eastman Process and Case Western Reserve University bearing datasets validate that the proposed OD-ViTFScL outperforms other state-of-the-art fault detection and diagnosis (FDD) approaches.

Oyekunle Oshidele, Sen Lin · 0 citations

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