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Reconstruction of Temperature Distribution by Acoustic Tomography Based on Principal Component Analysis and Deep Neural Network
Power Generation Technology Vol. 44, Issue 3, Pages: 399-406(2023)
Power Generation and Environmental Protection|Updated：2025-06-06
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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.”
DOI：10.12096/j.2096-4528.pgt.21084
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Related Author
GAO Ziwei
SUN Baizhong
LIU Jia
MA Yan
YANG Chao
DING Ning
LI Qian
ZHANG Anan
Related Institution
Operation Department of Guoneng Baoqing Coal and Electric Chemical Co., LTD.
School of Energy and Power Engineering, Northeast Electric Power University
School of Electrical Engineering and Information, Southwest Petroleum University
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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