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cs.LG2024
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
Marzieh Mirzaeibonehkhater, Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri
Bearing fault detection is a critical task in predictive maintenance, where accurate and timely fault identification can prevent costly downtime and equipment damage. Traditional a…
cs.LG2024
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri, Hanieh Ajami
Fault detection and diagnosis (FDD) is a crucial task for ensuring the safety and efficiency of industrial processes. We propose a novel FDD methodology for the Tennessee Eastman P…