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题名: Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering
作者: Sun LX(孙兰香) ; Cong ZB(丛智博) ; Xin Y(辛勇) ; Qi LF(齐立峰) ; Li Y(李洋)
作者部门: 工业控制网络与系统研究室
会议名称: 2013 2nd International Conference on Measurement, Instrumentation and Automation
会议日期: April 23-24, 2013
会议地点: Guilin, China
会议录: Applied Mechanics and Materials
会议录出版者: Trans Tech Publications Ltd
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2013
页码: 243-247
收录类别: CPCI(ISTP) ; EI
关键词: Fluctuation ; Kalman Filter (KF) ; Laser-Induced Breakdown Spectroscopy ; Quantitative Analysis
摘要: Laser-induced breakdown spectroscopy (LIBS) is excellent for its potential of online compositional analysis. Large signal fluctuation is the major obstacle of LIBS for quantitative analysis application. A kalman filtering method is proposed to estimate the elemental concentration and smooth the quantitative results. The system state model and the measurement model are deduced. The relation matrix between the measured values and system state is estimated based on calibration curve built on some standard samples, and the measurement noise matrix is estimated by the variance of multiple measurements of the spectral intensity. In order to make Kalman filter follow the changes of elemental concentration, the initial value of the covariance matrix of estimation error is reset as a certain rule. The experimental results show that the Kalman filtering method can greatly reduce the fluctuation of quantitative results and improve the measurement accuracy.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/12430
Appears in Collections:工业控制网络与系统研究室_会议论文

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