Classifying material type and mechanical properties using artificial neural network

Autor: Fauziah Mat, Rakhmad Arief Siregar, Sazali Yaacob, Intan Maisarah Abd Rahim
Rok vydání: 2011
Předmět:
Zdroj: 2011 IEEE 7th International Colloquium on Signal Processing and its Applications.
Popis: This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, the system tested with various method of neural network training algorithm. The Levenberg-Marquardt Backpropagation used as the algorithm in an artificial neural network system developed.
Databáze: OpenAIRE