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Solution developed to identify the structural quality of ceramic floors through the analysis of acoustic emission, using digital signals processing and machine learning techniques.

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Applying Non-Destructive Testing and Machine Learning to Control of Quality of Ceramic Floor

This repository contains the source code (in MATLAB) of the solution developed to identify the structural quality of ceramic floors through the analysis of acoustic emission, using digital signals processing and machine learning techniques.

Two classifiers was utilized to verify the accuracy of the system and the implementations of both are in run_by_svm.m and run_by_knn, respectively.

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Solution developed to identify the structural quality of ceramic floors through the analysis of acoustic emission, using digital signals processing and machine learning techniques.

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