Error distribution for TDLAS carbon monoxide concentration measurement system

doi:10.37188/OPE.20212907.1539

CIOMP OpenIR

	Error distribution for TDLAS carbon monoxide concentration measurement system
	P. Y; L. Y and Y. C.-X
	2021
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	29 期号:7 页码:1539-1548
摘要	The inversion accuracy of carbon monoxide (CO) concentration measurement using tunable diode laser absorption spectroscopy (TDLAS) technology is affected by various measurement errors, such as those pertaining to laser intensity, temperature, and pressure. To improve the measurement accuracy of TDLAS and reduce the influence of multiple errors on measurements, an error distribution method for each measurement error was proposed. First, an error model for CO concentration inversion was established. It included common error terms such as the peak value of the second harmonic, laser intensity, driving current, temperature, pressure, and optical path, based on the second harmonic measurement principle. Second, the influence of various error sources on the measured concentrations was studied separately using a randomized numerical fitting method, enabling the relationship between the concentration error and each error to be derived and the sensitivity of the concentration error to each error to be compared. Lastly, the various errors were effectively distributed by considering the sensitivity relationships, concentration measurement requirements, available devices, and technical complexity. Simulation of the error distribution scheme was performed using the Monte Carlo method. The simulation results show that when the gas volume fraction is 2.5%, the absolute error of concentration measurement is less than 0.025% under the error distribution scheme. Experiments to measure CO with a volume fraction of 2.5% show that the absolute error is less than 0.01%, demonstrating the high inversion accuracy inversion of CO concentration measurement. The results of this research show that the proposed error distribution method ensures high measurement accuracy for a TDLAS concentration detection system under the influence of multiple errors. In addition, the method can effectively decrease the design difficulty and cost of the systems, which is significant for the development and application of such instruments. 2021, Science Press. All right reserved.
DOI	10.37188/OPE.20212907.1539
URL	查看原文
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65229
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	P. Y,L. Y and Y. C.-X. Error distribution for TDLAS carbon monoxide concentration measurement system[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2021,29(7):1539-1548.
APA	P. Y,&L. Y and Y. C.-X.(2021).Error distribution for TDLAS carbon monoxide concentration measurement system.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,29(7),1539-1548.
MLA	P. Y,et al."Error distribution for TDLAS carbon monoxide concentration measurement system".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 29.7(2021):1539-1548.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Error distribution f（5275KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载