利用独立于油膜厚度的LIF谱参数对油和水进行分类

Zhu Bangzhong, Yuan Hangjun
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引用次数: 2

摘要

利用激光诱导荧光(LIF)光谱进行油膜远程诊断的方法通常是基于实验室样品光谱与现场采集光谱之间的相关系数。研究表明,油膜厚度对LIF光谱影响很大。本文提出了一种不依赖于油膜厚度的方法,在不使用实验室样品光谱的情况下,将水中的油分为轻炼油、原油和重渣油三大类。该方法可用于基于计算机的油膜谱诊断。介绍了实验系统。
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Classification of oils an water using LIF spectrum parameters independent of the thickness of oil film
Methods of remote oil films diagnosis using laser induced fluorescence (LIF) spectra are usually based on correlation coefficients between the laboratory sample spectra and acquired in-situ spectra. Research shows that thickness of oil film affects the LIF spectra greatly. In this paper a method, which is independent of the thickness of oil film, is set forth to classify oils on water into three groups (namely lightly refined, crude, heavy residual oils) without using laboratory sample spectra. The method is useful for computer-based oil film spectra diagnosis. The experimental system is described.
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