Publications by authors named "Zhenfa Yang"

Article Synopsis
  • * It employs the Savitzky-Golay method to smooth data and investigate key oxides like calcium carbonate, silicon dioxide, aluminum oxide, and ferric oxide, using various wavelength selection techniques for optimal analysis.
  • * Results show that combining NIR with advanced modeling techniques significantly improves oxide content predictions, suggesting potential transformative impacts on quality assurance in cement manufacturing.
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Determining oxides content in cement raw meal with near infrared (NIR) spectroscopy, associated with partial least square (PLS) regression, is fast and potential for cement industry to realize cement raw material proportioning control. However, it has hardly been studied. Backward interval PLS (biPLS) with genetic algorithm (GA-biPLS) were applied to select characteristic variables closely related to the concentration of oxide of interest to establish calibration model.

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