Anomaly Detection for Wind Tunnel Flow Field Based on Ensemble Learning

Abstract

AbstractAnomalies in wind tunnel data can seriously affect data integrity, making efficient anomaly detection essential for improving data-driven methods. Research has shown that ensemble models for anomaly detection generally achieve better stability and ...