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Proceedings Paper

Pattern recognition application in classification of intelligent composites during smart manufacturing using a C4.5 machine learning program
Author(s): Afshad Talaie; Nasser Esmaili; Ji-Yoon Lee; Tatsuro Kosaka; Nobuo Oshima; Katsuhiko Osaka; Youichi Asano; Takehito Fukuda
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Paper 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.

Paper Details

Date Published: 21 March 2001
PDF: 11 pages
Proc. SPIE 4235, Smart Structures and Devices, (21 March 2001); doi: 10.1117/12.420861
Show Author Affiliations
Afshad Talaie, Osaka City Univ. (Japan)
Nasser Esmaili, Univ. of New South Wales (Australia)
Ji-Yoon Lee, Univ. of New South Wales (Australia)
Tatsuro Kosaka, Osaka City Univ. (Japan)
Nobuo Oshima, Osaka City Univ. (Japan)
Katsuhiko Osaka, Osaka City Univ. (Japan)
Youichi Asano, Osaka City Univ. (Japan)
Takehito Fukuda, Osaka City Univ. (Japan)

Published in SPIE Proceedings Vol. 4235:
Smart Structures and Devices
Dinesh K. Sood; Ronald Albert Lawes; Vasundara V. Varadan, Editor(s)

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