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Identification and classification of meteorites using a handheld LIBS instrument coupled with a fuzzy logic-based method
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2018-07-17 00:00:00 , DOI: 10.1039/c8ja00224j
Giorgio Saverio Senesi 1, 2, 3 , Paola Manzari 3, 4, 5 , Arianna Consiglio 2, 3, 6 , Olga De Pascale 1, 2, 3
Affiliation  

A handheld laser-induced breakdown spectroscopy (LIBS) instrument is proposed as a novel tool that is able to provide information on the nature of meteorites and discriminate among iron, stone, stony-iron meteorites and meteor-wrongs. Further, a novel fuzzy logic-based inference algorithm is applied to broadband LIBS spectra for the identification of meteorites and their classification according to their origin and nature. The identification of meteorites is a decision-making problem based on a compromise among human experience, visual evidence and analytical data, which fuzzy logic is proved to be able to solve. The final model is able to correctly classify 25 out of 26 samples and provides a set of IF-THEN rules that describe how some selected wavelengths are involved in the classification task.

中文翻译:

使用手持式LIBS仪器结合基于模糊逻辑的方法对陨石进行识别和分类

提出了一种手持式激光诱导击穿光谱仪(LIBS)作为一种新颖的工具,它能够提供有关陨石性质的信息,并能够区分铁,石,石铁陨石和流星错。此外,一种新颖的基于模糊逻辑的推理算法被应用到宽带LIBS光谱中,以根据陨石的来源和性质对陨石进行识别和分类。陨石的识别是基于人类经验,视觉证据和分析数据之间折衷的决策问题,事实证明模糊逻辑能够解决。最终模型能够正确地对26个样本中的25个进行分类,并提供一组IF-THEN规则,这些规则描述了分类任务如何涉及某些选定的波长。
更新日期:2018-07-17
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