most citedTwin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 3 cited

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…