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Reconstruction of Temperature Distribution in Acoustic Tomography Based on Robust Regularized Extreme Learning Machine
Power Generation Technology   Vol. 46, Issue 2, Pages: 361-369(2025)
Power Generation and Environmental Protection|Updated:2026-06-29
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    • Reconstruction of Temperature Distribution in Acoustic Tomography Based on Robust Regularized Extreme Learning Machine

    • “Acoustic tomography, as a non-invasive temperature detection technology, has significant value in industrial process monitoring. Researchers have proposed a robust regularized extreme learning machine based acoustic tomography temperature distribution reconstruction method and established a two-stage reconstruction framework to provide a solution for high-resolution temperature monitoring of power plant boilers under high temperature and strong interference conditions.”
    • DOI:10.12096/j.2096-4528.pgt.23115    

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    • Revised:2024-10-20,

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Related Institution

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Key Laboratory of Solar Thermal Energy and Photovoltaic System, Chinese Academy of Sciences, Haidian District