Open access
Aug 2026
Run-Level Fault Detection and SHAP-Based Diagnosis of Persistent Classification Difficulty in the Tennessee Eastman Process
Reliable fault detection in nonlinear process systems requires both accurate classification and interpretable analysis of faults with weak or near-normal signatures. This study develops an explainable, data-driven, and temporally informed multiclass framework for the Tennessee Eastman Process (TEP), retaining all 21 op...
Nuri Furkan Koçak, Ali Saygın, Fuat Turk et al.
· Processes · 0 citations