Pattern recognition application in classification of intelligent composites during smart manufacturing using a C4.5 machine learning program

Afshad Talaie; Nasser Esmaili; Ji-Yoon Lee; Tatsuro Kosaka; Nobuo Oshima; Katsuhiko Osaka; Youichi Asano; Takehito Fukuda

doi:10.1117/12.420861

21 March 2001 Pattern recognition application in classification of intelligent composites during smart manufacturing using a C4.5 machine learning program

Afshad Talaie, Nasser Esmaili, Ji-Yoon Lee, Tatsuro Kosaka, Nobuo Oshima, Katsuhiko Osaka, Youichi Asano, Takehito Fukuda

Author Affiliations +

Proceedings Volume 4235, Smart Structures and Devices; (2001) https://doi.org/10.1117/12.420861
Event: Smart Materials and MEMS, 2000, Melbourne, Australia

Abstract

The development of an on line computer based classification system for the real time classification of different composites is addressed in this study. Different parameters were collected simultaneously when embeded sensors (dielectric, optical fiber, and piezoelectric sensors) were used within two different composite matrices during the curing process. The measurements were used by an algorithm software as a logged data file, resulting in to inducing a decision tree. Later, a systematic software is designed based on the rules derived from this decision tree, to recognise the type of composites used in the experiment together with recognition of their physical and mechanical characteristics. This is a new approach to data acquisition in intelligent materials produced by smart manufacturing system.

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Afshad Talaie, Nasser Esmaili, Ji-Yoon Lee, Tatsuro Kosaka, Nobuo Oshima, Katsuhiko Osaka, Youichi Asano, and Takehito Fukuda "Pattern recognition application in classification of intelligent composites during smart manufacturing using a C4.5 machine learning program", Proc. SPIE 4235, Smart Structures and Devices, (21 March 2001); https://doi.org/10.1117/12.420861

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