Fast determination of oxides content in cement raw meal using NIR-spectroscopy and backward interval PLS with genetic algorithm

Zhenfa Yang; Hang Xiao; Lei Zhang; Dejun Feng; Faye Zhang; Mingshun Jiang; Qingmei Sui; Lei Jia

doi:10.1016/j.saa.2019.117327

Fast determination of oxides content in cement raw meal using NIR-spectroscopy and backward interval PLS with genetic algorithm

Spectrochim Acta A Mol Biomol Spectrosc. 2019 Dec 5:223:117327. doi: 10.1016/j.saa.2019.117327. Epub 2019 Jun 29.

Authors

Zhenfa Yang¹, Hang Xiao¹, Lei Zhang², Dejun Feng³, Faye Zhang¹, Mingshun Jiang¹, Qingmei Sui¹, Lei Jia¹

Affiliations

¹ School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China.
² School of Control Science and Engineering, Shandong University, Jingshi Road, 250061 Jinan, China. Electronic address: drleizhang@sdu.edu.cn.
³ Suzhou Research Institute, Shandong University, Suzhou, 215123, China.

PMID: 31280123
DOI: 10.1016/j.saa.2019.117327

Abstract

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. The optimal GA-biPLS models showed that the determination coefficient (R_p²) and root mean square error of prediction (RMSEP) were 0.8857 and 0.0994 for CaO, 0.8718 and 0.1044 for SiO₂, 0.7417 and 0.0693 for Al₂O₃, 0.5404 and 0.0387 for Fe₂O₃, correspondingly. These results indicate that GA-biPLS can select less variables with better prediction performance by comparison with PLS and biPLS, the NIR spectroscopy combined with GA-biPLS algorithm is a fast, accurate and reliable alternative method for determination of oxides content in cement raw meal.

Keywords: Backward interval partial least square; Cement raw meal; Fast determination; Genetic algorithm; Near infrared spectroscopy; Oxides content.