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Intelligent Diagnosis System for Shop Floor Control Using Data Mining Techniques

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1 Author(s)
Sangjae Song ; Dept. of Intell. Mech. Eng., Hiroshima Inst. of Technol., Hiroshima

This paper aims to develop and demonstrate intelligent diagnosis system that ensures effective supporting the decision-maker in determining the cause and potential solutions to unpredictable problems or events detected by monitoring factory-wide operating processes. The algorithm for accomplishing rapid, cost-effective, and high reliable diagnosis system is well-designed with C++ as an object-oriented programming language under Windows OS platform. A windows-based prototype system for intelligent diagnosis system with real-time status data collected from shop floor is also suggested and demonstrated by using C++ programming language and C4.5 learning algorithm.

Published in:

Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on  (Volume:2 )

Date of Conference:

11-13 Nov. 2008