System and method for mineral composition analysis using x-ray diffraction based on machine learning utilizing domain knowledge

Abstract

A system and method for X-ray diffraction composition analysis based on machine learning utilizing domain knowledge is proposed. The method for X-ray diffraction composition analysis based on machine learning utilizing domain knowledge may include inputting X-ray diffraction data of a mineral; preprocessing the input X-ray diffraction data by normalizing the data per dataset, and generating a clustering model by using the preprocessed X-ray diffraction data. The method may also include generating a mineral composition analysis model by using the preprocessed X-ray diffraction data, and classifying new X-ray diffraction data into usual composition data or unusual composition data using the clustering model after inputting and preprocessing the new X-ray diffraction data. The method may further include estimating the mineral composition of the new X-ray diffraction data classified as the usual composition data through analysis using the mineral composition analysis model.

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