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Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network
Power Generation and Environmental Protection | 更新时间：2025-06-06

    • Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network

    • “The latest research utilizes deep neural networks and acoustic tomography technology to successfully reconstruct the temperature field of the boiler furnace in thermal power plants, with higher accuracy than traditional algorithms.”
    • Power Generation Technology   Vol. 44, Issue 3, Pages: 399-406(2023)

    • DOI：10.12096/j.2096-4528.pgt.21084    

      CLC： TK 31

    • Received：10 January 2022，

      Published：30 June 2023

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  • ZHANG Lifeng,LI Jing,WANG Zhi.Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network[J].Power Generation Technology,2023,44(03):399-406. DOI： 10.12096/j.2096-4528.pgt.21084.

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Related Author

GAO Ziwei
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MA Yan
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Related Institution

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Jinghai Power Generation Co., Ltd., Guangdong Energy Group
School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, Guangdong Province
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