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

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    JAEEEZ.ASENG-6535.pdf (2.170Mb)
    Date
    2026
    Author
    Teng, Jian
    Gao, Ziyi
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    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314180
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