eddardd/CrossDomainFaultDiagnosis
Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport
Implements eight domain adaptation algorithms—spanning instance-based (KMM, KLIEP, LSIF), feature-based (TCA, GFK, DANN), and optimal transport approaches (Sinkhorn, Monge, JDOT)—to train fault diagnosis systems on simulated data that generalizes to real processes despite distribution shift. Benchmarked on dynamic systems including CSTR with first-order model identification and PID tuning, analyzing how modeling errors affect optimal transport plans and classification performance across domains.
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Aug 03, 2023
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