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Integrating Mach Number Prediction with Outlier Detection for Wind Tunnel Systems
Publisher: American Society of Civil Engineers
Abstract: Mach number prediction plays a crucial role in wind tunnel systems. Due to the complicated system behavior, many existing predictors cannot obtain the desired level of accuracy. In addition, the presence of outliers in ...
Wind Tunnel Mach Number Prediction Based on the Pruned Feature Subsets Ensemble Method
Publisher: American Society of Civil Engineers
Improving Identification of Wind Tunnel Systems Using Clustering-Based Ensemble Outlier Detection Model
Publisher: ASCE
Abstract: This paper proposes an outlier ensemble based on the clustering technique to improve the identification accuracy of wind tunnel systems, which are very critical pieces of test equipment in the field of aerospace. The use ...
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