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Journal of Korean Society for Quality Management > Volume 29(4); 2001 > Article
Journal of Korean Society for Quality Management 2001;29(4): 38-.
인공 신경망의 패턴분석에 근거한 지능적 부품품질 관리시스템의 설계
이장희, 유성진, 박상찬
한국과학기술원 산업공학과
Design of Intelligent Material Quality Control System based on Pattern Analysis using Artificial Neural Network
In resolving industrial quality control problems, a vector of multiple quality characteristic variables is involved rather than a single variable. However, it is not guaranteed that a multivariate control chart based on statistical methods can monitor abnormal signal in case that small changes of relationship between each variables causes abnormal production process. Hence a quality control system for real-time monitoring of the multi-dimensional quality characteristic vector under a multivariate normal process is needed to enhance tile production system quality performance. A pattern analysis approach based on self-organizing map (SOM), an unsupervised learning technique of neural network, is applied to the design of such a quality control system. In this study we present a new material quality control system based on pattern analysis approach and illustrate the effectiveness of proposed system using actual electronic company material data.
Key Words: Pattern Analysis;Neural Network;Material Quality Control System;
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