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Wavelength Selective Terahertz Time-Domain Spectroscopy for Paper Thickness Measurement |
CAO Bing-hua1, WANG Wei*, FAN Meng-bao2, WEI Zhong-liang3 |
1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2. School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
3. School of Computer Science and Engineering, Anhui University of Science and Technology, Huaian 230001, China |
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Abstract Wavelength selection of spectra plays an important role in the quantitative analysis of terahertz spectroscopy. In this paper, a new method for quantitative measurement of paper sheet thickness is presented based on wavelength selection of terahertz phase spectra. Besides, binary particle swarm optimization (BPSO) algorithm is applied in wavelength selection of terahertz phase spectra and partial least square (PLS) algorithm is employed to establish the quantitative analysis model of paper sheet thickness. In addition, the root mean square error of prediction (RMSEP) is analyzed to show the performance of the method. Finally, the prediction error of the method is compared with both the methods using the raw spectra and the method using a single wavelength of the spectra. The results show that the method of this paper gives the most satisfactory quantitative accuracy.
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Received: 2017-09-12
Accepted: 2017-12-30
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Corresponding Authors:
WANG Wei
E-mail: wangweihao@cumt.edu.cn
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[1] Sharma C, Jain A. Bulletin of Electrical Engineering and Informatics, 2016, 5(1): 62.
[2] Belotserkovsky E, Dahlquist J A, Alto P. United States Patent, 6074483, 2000.
[3] Stor-Pellinen J, Hggstrm E, Karppinen T, et al. Measurement Science and Technology, 2001, 12: 1336.
[4] PAN Zhao, ZHENG Xiao-kang, WANG Yu-tian, et al(潘 钊, 郑晓康, 王玉田). Acta Optica Sinica(光学学报), 2015, 35(a01): 145.
[5] SHEN Xiao-chen, LI Bin, LI Xia, et al(沈晓晨, 李 斌, 李 霞, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2017, 33(s1): 288.
[6] Stoik C D, Bohn M J, Blackshire J L. Optics Express, 2008, 16(21): 17039.
[7] CAO Bing-hua, ZHANG Guang-xin, ZHOU Ze-kui(曹丙花,张光新,周泽魁). Journal of Infrared & Millimeter Waves(红外与毫米波学报), 2009, 28(4): 241.
[8] Yasui T, Yasuda T, Sawanaka K I, et al. Applied. Optics, 2005, 44(32): 6849.
[9] Palka N, Panowicz R, Chalimoniuk M, et al. Composites Part B-Engineering, 2016, 92: 315.
[10] Cao B H, Fan M B, Tian G Y, et al. Journal of Sensors, 2017, 3520967: 1.
[11] Pohl A, Demann N, Dutzi K, et al. Journal of Infrared Millimeter and Terahertz Waves, 2016, 37: 175.
[12] Wang Y X, Zhao Z R, Chen Z Q, et al. Applied Optics, 2011, 50(35): 6452.
[13] CHEN Tao, LI Zhi, MO Wei, et al(陈 涛, 李 智, 莫 玮, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(12): 3241.
[14] SHI Ji-yong, ZOU Xiao-bo, ZHAO Jie-wen, et al(石吉勇, 邹小波, 赵杰文,等). Journal of Infrared & Millimeter Waves(红外与毫米波学报), 2011, 30(5): 458.
[15] Kesharaju M, Nagarajah R. Journal of Ultrasonics, 2016, 75: 124.
[16] Xie J, Pan T, Chen J M, et al. Chinese Journal of Analytical Chemistry, 2010, 38(3): 342. |
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