Deep Learning–Assisted Evaluation of Total Pressure Distortion in S-Duct Inlets from Sparse Sensor Data

Abstract

AbstractTraditional inlet total pressure distortion evaluation methods, which rely on dense sensor arrays, are costly and complex in industrial applications. This paper presents a deep learning approach using convolutional neural networks to predict total ...Practical ApplicationsThis work describes a deep learning workflow for estimating total pressure distortion in S-duct inlets from sparse sensor data. Traditional total pressure distortion assessments employ dense sensor arrays that are relatively ...