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Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering
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
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications Ltd
出版地Zurich-Durnten, Switzerland
2013
页码243-247
收录类别EI ; CPCI(ISTP)
EI收录号20133516680900
WOS记录号WOS:000329080300044
产权排序1
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.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/12430
专题工业控制网络与系统研究室
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Sun LX,Cong ZB,Xin Y,et al. Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering[C]. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,2013:243-247.
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